VibraSens, manufacturer of industrial  vibration monitoring instrumentation, announces accelerometers with an M12 connector designed for predictive maintenance vibration monitoring.

Model 101.51: Top exit sensor with M12 connector. Datasheet 
Model 103.02: Side exit sensor with M12 connector. Datasheet
Item Code used for M12 will be Model Number- Frequency Code- Connector type
Example: 101.51-XX-2 for M12 connectors.

About VibraSens
With a wide range of products from industrial piezoelectric accelerometers, vibration sensors, vibration transmitters, signal conditioners to junction boxes, low noise cable assemblies, connectors, accessories and calibration equipment,  VibraSens , an European company, is one of the best designer and manufacturer of Vibration instrumentation with a glorious track record of over a decade especially in harsh and high temperature environment (500°C, 700°C or even more). Our competitive edge lies in the product innovation, competitive price and superior quality. 

A modern production facility exclusively engaged in the design and manufacture of piezoelectric vibration transducers, piezoelectric pressure sensor and vibration instrumentations help us to maintain a high quality level in our core business. Our manufacturing and test equipment ranges from basic precision machinery for providing high quality sensor components, to custom-built machinery specifically designed for piezoelectric vibration sensor fabrication. During the years of development we have also built some specifically design systems to test our range of piezoelectric accelerometer. We have developed using ®Labview (National Instrument Trademark) a completely automated shaker test system to check the sensitivity and frequency response (up to 10 kHz) of our piezoelectric vibration sensors. Our controlled process includes laser and microplasma welding, helium leak tester, resistance welding, temperature cycling, high temperature brazing. All those processes and others are strictly controlled by our process specification document. We closely work with one of the best European company specialized in the manufacturing of hybrid circuit for the sensor industry. With this partnership, we are sure to stay ahead of this technology for the years to come. 

Customer satisfaction is VibraSens’s prime objective. Service and dedication towards customers, has earned the company its distinguished clientele & distributors from various industries such as Power generation (Gas turbine, Steam turbine, Wind turbine, Hydro generator), Petrochemical & Pipeline industry, Metals & Mining, Pulp and paper, Waste water treatment, etc. VibraSens has products to cater all the industrial needs of their clients. 
For more details please visit: http://vibrasens.com/ 

Machine Condition Monitoring Market

Machine health monitoring is a process of supervising the machinery to identify considerable changes that indicates a fault. The use of machine health monitoring system allows timing for maintenance to be scheduled in a manner that prevents the failure of system and thus avoid its consequences. Machine health monitoring system benefits machinery by identifying the fault before it develops into a major failure. The growing importance of asset management and manufacturer’s drive to optimize productivity and increase efficiency of plant is driving the demand for machine health monitoring equipment market.

Additionally, increasing emphasis on asset utilization and the rising need for elimination of possible machine breakdowns which may lead to redundant maintenance costs has led to an increased adoption of this technology. This technique is generally used on rotating equipments and other machinery such as electric motors, pumps, presses and internal combustion engines. Manufacturing processes, such as breweries and oil refineries, employ monitoring systems, to measure critical parameters. This system makes use of sensors for the purpose of monitoring the machines. SCADA (Supervisory Control and Data Acquisition), is used to analyze information and provide data.

This system is used to monitor current and historical performance of equipments. Machine health monitoring facilitates prediction of machine failure which minimizes production losses, by planning corrective activities beforehand. This technique is primarily aimed towards reducing cot and repair time and is considered to be an efficient strategy in the manufacturing industry. Machine health monitoring involves strategic tools which help in decision making processes.

Various products of machine health monitoring systems are corrosion monitoring equipments, thermograph equipments, lubricating oil examination equipments, ultrasound emission equipments and vibration monitoring equipments. These products make use of various components such as spectrometer, corrosion probes, spectrum analyzer, ultrasonic detector, thermal camera and vibration sensor. The rising need for a system to decrease the risk of unforeseen machine failures and implementation of planned preventative maintenance techniques has increased the demand for machine health monitoring system Obtaining a return on investment from the installment of machine health monitoring system, and irregular maintenance cycles which may require certain modifications in existing machinery to fit the new systems are some of the factors that are constraining the growth of the market. Smart sensors development, vibration sensor machinery and development of Internet of Things (IoT) for machine health monitoring are some the current trends in this industry that are likely to drive the market during the forecast period.

Currently, North America accounts for the largest market share. The growth is mainly driven by the technological advancements in the industrial processing which in-turn have increased the adoption of machine health monitoring systems in this region. However, with growing manufacturing bases of the major market players in automotive, semi-conductor and consumer electronics sectors, Asia-Pacific is expected to be the key contributor for the market growth among all the geographic regions in near future

A Housing Project in Scotland Launches IoT Pilot Focused on Energy Use, Safety

The project is billed as a "smart neighborhood" technology test and will monitor energy use inside apartments, as well as the buildings' water and safety systems.

A handful of technology providers teamed with a Scottish housing provider, River Clyde Homes, last month to launch a pilot project for evaluating the use of IoT technology to reduce energy consumption and improve safety at a social housing project that comprises a small neighborhood called Broomhill.
Social housing programs provide homes to residents with low income or disabilities, as well as to the elderly or other individuals who have difficulty finding affordable dwellings. It is similar in some ways to public housing in the United States. Generally, social housing landlords are nonprofit organizations that funnel profits into maintaining existing homes and financing new ones. Social housing complexes are financially regulated by housing authorities, such as the Homes and Communities Agency (HCA) in England and the Scottish Housing Regulator (SHR) in Scotland, and partially financially funded by their respective national governments.

Broomhill, which is made up of 666 units, including townhouses, multi- story apartment buildings and three high-rise buildings, is located in Greenock, a town of 45,000 residents, northwest of Glasgow. River Clyde Homes is hoping the Broomhill IoT pilot project will provide a means for it to more easily monitor the community's energy use and safety systems. If it does, the nonprofit may deploy the technology permanently and expand it to more of the 6,000 properties it manages.

Approximately 300 multi-functional IoT devices that are being installed in both occupied and unoccupied dwellings at Broomhill to monitor a wide range of things are used in this project.

Vibration, temperature and humidity sensors are being installed inside elevators with the goal of helping River Clyde Homes better understand their usage patterns and improve their maintenance in order to avoid breakdowns, since both residents and contractors (who are performing work on unoccupied apartments or communal areas regularly) rely on the elevators. Elevator maintenance is a major cost issue for the landlord.
Temperature sensors are being added to communal water tanks in order to ensure the water is stored at safe temperatures—this is being done in an effort to prevent the growth of Legionella bacteria in the water, says Sharon Fleming, a lead associate consultant for business intelligence software provider HouseMark and the architect of the pilot project. Older people and those with respiratory disorders are especially vulnerable to contacting Legionnaires’ disease, so landlords such as River Clyde Homes are concerned about outbreaks.

Positional sensors on communal fire doors will alert staff if the doors have been left ajar for long periods of time.

Inside an unoccupied building, the sensors are being evaluated for public safety uses. "Unoccupied apartments, particularly in the low-rise dwellings are hot-spots for break-ins, [and they are sometimes used] as a route in to other dwellings," says Fleming. The empty units are sometimes vandalized, as well. Motion sensors and ambient noise sensors are being placed strategically in an unoccupied building at Broomhill and will be combined with video surveillance, says Fleming.

Sensors tracking temperature and humidity inside living units could help River Clyde Homes ensure that residents are not keeping their homes too cool or warm, and at a safe humidity level. Fleming says this information could be used to make sure not only that residents are not wasting energy but also that those with disabilities or respiratory illnesses, and the aged, are in a comfortable and healthy living environment.
High-rise social housing dwellings have restrictors on windows that prevent them from being opened fully, as a safety measure. In the past, children have died after falling out of windows with broken or compromised restrictors. Sensors will be placed on select windows at Broomhill to alert staff if the window is opened farther than a functioning restrictor would allow.

Carbon monoxide sensors with integrated cellular modems will also be tested in the pilot. If they detect dangerous CO levels, River Clyde Homes maintenance staff will receive SMS alerts on their mobile phones. Each detector also runs diagnostic tests each week and triggers alerts via SMS if the device is not functioning properly or its battery is low.

With the exception of the CO sensor, all of the sensor modules contain Sigfox radios. Sigfox is a networking provider that has developed a protocol for transmitting small packets of data over sub-GHz frequencies, on ISM bands (868 MHz in Europe and 902 MHz in the US) using ultra-narrow band (UNB) modulation. The data from the sensors is transmitted to a Sigfox base station, which has been installed on the roof of one of the high-rise blocks in the Broomhill neighborhood. The radios have a range of around 2.5 miles in urban environments. From the base station, the data will be transmitted across the Sigfox network in Greenock, which was deployed through a partnership with British telecommunications firm Arqiva.

IoT platform provider Flexeye is working with HouseMark to deliver the analytics, dashboards, visualization and reporting tools that are being used to collect and manage the sensor data.

Flexeye is also the leader of a consortium of companies developing Hypercat, a specification designed to support interoperability between Internet of Things services and applications. Hypercat has established a common language for resources—using a format called uniform resource identifiers (URI)—that are referenced in multiple systems that may have dissimilar data structures, but which all use the hypertext transfer protocol (HTTP). Hypercat employs the JavaScript Object Notation (JSON) data interchange format and RESTful application programming interfaces (APIs). The data collected through this pilot project will be shared among the stakeholders using the Hypercat format.

Fleming says that all 300 sensors should be installed by the end of this month, and the pilot project will then run for six months, after which River Clyde Homes will decide whether to keep the sensor network deployed or remove it. She adds that if the River Clyde Homes decides to keep the network in place or expand its use to other properties, it will need to work with the technology vendors to establish some sort of payment arrangement, such as a subscription service.

Aside from monitoring the reliability and safety of different physical assets such as elevators, doors and windows, Fleming says that River Clyde Homes hopes the IoT project will enable it "to identify opportunities to improve services for its tenants as well as to reduce costs through proactive maintenance of buildings and equipment." The data may eventually be shared with insurance providers, as well, and be used to negotiate premiums.

Where the often quoted ISO 10861-21 falls short for CMS

There is dire need for the system certification of condition monitoring, mostly because current CMS vendors offer at least nine different approaches for basic sensor selection and placement. This confusion originally prompted the call for a certification for owners to assist in the selection of a viable CMS for wind.

After speaking at recently NREL and UVIG events, I was asked if there was a certification for CMS systems in the wind industry. The answer is yes…and no. To investigate further, we will go through the available standards for CMS in wind to find what is helpful.

The standard for vibration in wind turbines is listed as ISO 10816-21. This ISO standard states it “does not apply to diagnostics or fault detection.” It also states that the vibration “evaluation zone boundary values are not intended for use as acceptance values. These must be agreed upon between the manufacturer and user.” So how does the standard help?

To be clear, if you adhere to ISO 10816-21, there is no guarantee you will have a successful CMS program. Also note that the standard applies to a rather wide range of wind turbines, from 200 kw up to 3-MW ratings.

So, what does the standard suggest regarding monitoring? It suggests the use of piezoelectric accelerometers and separates equipment into rotating and non-rotating components.

For rotating components, the standard suggests:

Sensor placement – For rotating components (drive train is a given), it advises the use of sensors in three axis across the drive train. This is not standard for many reasons. Using accelerometers in three axes is not beneficial in determining a failure component. A single sensor can work except when determining some defects. However, as this standard states, its purpose is not intended to measure specific defects.

The main bearing – Three-axis measurements are recommended but not demodulated readings for detecting early bearing defects, nor time waveform measurements. The standard makes no suggestion for the number of lines-of-resolution in the spectrum, averaging, or overlap.

Gearbox – Three-axis measurements again but no demodulated reading for early bearing defect detection nor time waveform measurements. No suggestion for lines-of-resolution in the spectrum, averaging or overlap.

Generator – Three-axis measurements yet no demodulated reading for early bearing defect detection nor time waveform measurements. No suggestion for lines-of-resolution in the spectrum, averaging or overlap.

Number of sensors

It is not practical to use the suggested 17 sensors across the drive train. Typically, most commercial CMS systems use 7 to 8 sensors. Seventeen of them are cost prohibitive. They will also generate too much data. Consider that 7 to 8 sensors installed on 100 towers will produce an annual data volume is in excess of two-million measurements based upon once-a-day intervals.

Using three sensors on a generator bearing to find a bad bearing within is simply not practical. Installation costs go up, data volume increases, hardware costs double, and network load increases as well to get the data out. So this portion of the specification is simply not practical.

On Non-rotating equipment:

Sensor placement – The standard suggests three axes in two locations to monitor the bedplate of the tower for structural purposes. This is more for a process and controls purpose than a condition-monitoring function. Most bedplate monitoring I have been involved with is at a prototype level, certainly not at a fleet level.

Number of sensors – The standard specifies installing eight low-frequency sensors. Again, as with 17 sensors on the drive train, adding eight expensive low frequency sensors is not a good suggestion. It is doubtful that any owner would install eight sensors per tower to understand the vibration of the structure.

Measurement parameters – The standard suggest performing evaluations in 10-minute periods. This really requires specialized equipment. It is certainly not something that is fleet advisable. At 10 minutes per tower, the data volume would be significant, and the data storage and analysis substantial.

Vibration levels – The standard suggests measuring only acceleration and velocity. The accompanying chart (above) shows overall vibration levels in velocity measurement units.

Other standards

ISO 10816-21 standard does not give the end user guidance for acceptable vibration levels, diagnostics, or fault detection. So what can it offer the owner? It does advise as to structural vibration measurements and parameters as well as sensor types and placement. To be clear, not one CMS system commercially available today, marketed and installed, meets this standard.

However, portions of two other suggested standards might be helpful to owners. They are:

• VDI 3832, for rolling element bearing noise and vibration. This also has a wide range of application in wind turbine size. And,

• ISO 13373-2, techniques for bearing and gearbox defects analysis.

So between rotating and non-rotating components, the suggested 25 sensors per tower is literally three times the amount normally installed. Owners show pause at the current eight-accelerometer pricing per tower. Twenty-five is likely not realistic.

Here is what’s missing and crucial to a successful CMS program:

Quality of the sensors – There are at least 10 to 12 sensor factors that are not covered. Cables are not even discussed.

Ability of the software – There are no specifications on measurement parameters, measurement types, resolution, averaging, and a dozen other measurement factors.

Ability of the analyst – There currently are three companies that certify vibration analysts. It certainly makes sense to have an analyst who is certified but this is no guarantee that the person is a good analyst. Ironically, the certifying bodies that teach the theory and background of vibration analysis measurements, teach very little on actual vibration analysis.

We will discuss these important factors in a following article. We will also look at what makes sense for a standard for CMS installs to benefit the owners, ISPs, and manufacturers. 

Source: http://www.windpowerengineering.com/featured/often-quoted-iso-10861-21-falls-short-cms/ 

Reliable level measurement can improve screen-house productivity and reduce downtime.

Reliable level control is essential in the harsh environment of the quarry screen-house, where freshly-mined and crushed stone is sorted by size. However there are many challenges that this vital monitoring equipment will have to withstand, both in terms of the environment of the screen-house and the characteristics of the product being monitored. In this white paper level measurement experts Hycontrol examine the issues surrounding level monitoring in screen-houses and outline the optimum measurement solutions for this challenging environment.

Screen-houses are a standard fixture in the quarry industry. Designs and sizes of screen-houses will vary from site to site, but they all fulfil the same basic function. Usually, belt conveyors are used to drop in processed, crushed stone from the quarry site at the top of the screen-house. The rock is then passed over a series of different-sized vibrating grilles which initially allows the smallest pieces of dust and stone to fall through into a bin below.

As the remaining unsorted rocks descend a ‘staircase’ of slightly angled, vibrating screens, progressively larger pieces of rock up to a size of 60mm are allowed to pass through into the appropriate bins. After screening, the sorted stone can be released from one of the discharge points at the bottom or the side of the bin for use in a wide range of potential applications including aggregate, the production of concrete, roadstone and general construction.

  

The challenges of screen-house level monitoring
Screen-houses are large, difficult, noisy environments full of potential hazards for workers, including high levels of dust, limited visibility and large oscillating plant. As such, appropriate goggles, filter masks and ear defenders must be worn at all times by staff working in the buildings. Clearly this abrasive environment will have a detrimental effect on any equipment that is used, including the vital level measurement instrumentation used to monitor the sorted stone in the bins. Reliable level control is essential not only for inventory purposes when the stone is removed, but more importantly for preventing overfilling of the bins. Product overflow will inevitably lead to equipment damage, plant down-time and a costly clean-up, not to mention the potential for Health & Safety issues. The worst-case scenario is if excess product lifts the screens off their vibrating mountings. Bearing in mind that they can be mounted up to 30 metres above ground level, this is nothing short of a catastrophic event. It will likely cause extensive damage to the screen-house, creating a hazardous working environment and leading to significant down-time whilst the very difficult and potentially dangerous task of repairing the screens is carried out. The cost of such an event is horrendous with lost production and repair charges.

The nature of the screen-house environment also restricts the level measurement options available.

Strain-gauge load-cell and force-based systems, which work by fitting special strain sensors to key parts of the load-bearing structure of a vessel, are highly sensitive devices unable to cope with the constant vibration of the screen-house structure.

Contact-based level measurement technologies such as TDR (Time Domain Reflectometry, sometimes erroneously called ‘radar on a rope’) and out-dated plumb-bob meters are both unsuitable for the screen house environment. Whilst both technologies have many other successful applications in the quarry environment, in the screen-house they are far too likely to be damaged by the falling stone and so would be limited to use on the dust bins only.

Therefore we are left with a choice of two technologies that are suitable for screen-house level measurement, namely ultrasonics and radar.

Ultrasonics
Ultrasonic technology provides a highly cost-effective, easy-to-install, non-contact solution for a wide range of solids level measurement applications. The transducer, mounted at the top of the vessel, emits sound waves that are reflected back from the surface of the material. The instrument measures the time-of-flight of these waves in order to calculate distance, from which is discerned the level of product in the vessel.

Frequencies as low as 5 kHz are used on long range solids materials and higher frequencies at 40 kHz or above are used on shorter ranges. The latest low frequency ultrasonics can be used for ranges of up to 60 metres, although a number of environmental and operational factors within the silo can reduce this range. Traditional ultrasonic devices struggled with the effects of false echoes and temperature changes. However, the latest corrective software can compensate for a number of adverse operational factors relating to weak and false echoes caused by dust, internal silo structures (for example ladders or cross braces) and temperature changes affecting time-of-flight.

It should be noted that when using ultrasonics, consideration has to be given to the so-called dead band, a range directly below the transducer face where measurement is not possible. This area can vary from 300mm to 1500mm depending on the frequency being transmitted. However this usually only presents a problem for applications with shorter measurement ranges, rarely affecting screen-house applications.

Radar
FMCW (Frequency Modulated Continuous Wave) Radar level measurement systems use high frequency microwave signals (24-26 GHz) that are unaffected by dust, pressure, temperature, viscosity, vacuum or foam. The measured level is proportional to the difference in frequency between the transmitted microwaves and those reflected back from the product surface.
This technology is suitable for measurement ranges up to 80 metres and provides high levels of accuracy for certain applications. However the effectiveness of radar technology is dependent on the dielectric constant of the material in the vessel. Radar usually works better on products with a dielectric constant of greater than 2.0 and in the instance of rock in a screen-house this is not generally an issue. Radar equipment is more expensive than ultrasonics which may be a deciding factor for certain applications.

Effects of Filling and Emptying
It is important to understand the way in which vessels are filled and emptied when installing level measurement systems in order to optimise performance. This is especially important given the unusual shape and properties of a screen-house. In a normal silo with a width of less than 3 metres, with centrally-located single fill and draw-off points, the way in which material behaves is usually repeatable. A single level sensor, located away from the fill point, will usually provide reliable and consistent results (See figure 1). Please note that, depending on the size of the vessel and properties of the material, it may be necessary to locate the sensor an equal distance between the centre and outer edge of the vessel.

Complications can occur with vessels that have multiple fill and draw-off points, as in the case of quarry screen-houses (See figure 2 below). Typically bins have three discharge points and this will result in unpredictable product level behaviour. This means that a single sensor located on one side or the other of the vessel will not provide an accurate gauge of the contents – for example product may come to rest largely on one side of the bin, and a sensor located on the opposite side may erroneously show the tank to be empty or near-empty. Using the vessel shown in example 1, this would be the case for a sensor located at point (B). With the ‘staircase’ of screens that runs down the centre of the building it is not possible to centrally-locate a sensor in a screen-house - the falling product would soon erode it away. Whilst covers could be fitted it would be totally impractical to gain access in order to service and conduct maintenance on the sensor.

The most effective solution is to mount two level sensors meters, each an equal distance from each side – in the examples above this would be at points (A) and (B). The readings from each sensor are then used to discern the average product height in the vessel. This is done simply by feeding the information from the two probes to a site PLC or locally-mounted display panel where the readings from (A) and (B) are added together then divided by two, giving an average contents level for the vessel. This also provides the user with separate levels for both sides of the screen, making it easier to decide which point to draw the product from – for instance, in example 2 above the product should be taken from draw-off points (1) and (3) to lower the product height at the sides of the bin.

Maintenance
As we have seen, level equipment in a screen-house is exposed to potentially damaging abrasive material, dust and vibration throughout its working life. Not surprisingly the cleaning and maintenance of level equipment in this unpleasant environment is often neglected.
This is a fundamental error and one that will ultimately accelerate the failure of the equipment. For process-critical equipment, maintenance is essential to ensure ongoing functionality and should be regularly scheduled. This should include not only cleaning and visually checking that the equipment has not become damaged, but also a thorough check of the functionality and calibration of the sensors. This will ensure optimum output levels and eliminate the risk of signal drift. The best solution is for this to be carried out by experienced specialist engineers as part of a regularly scheduled maintenance programme.

Conclusion
The need for reliable level control in screen-houses is clear and well-understood by quarry staff. However achieving that reliability in such a harsh environment continues to be a challenge. It is now accepted that the use of a single sensor will not provide sufficient accuracy, but two sensors will give optimum performance. The chosen instrumentation must provide the precision and reliability required to monitor through a dusty atmosphere, whilst having the robustness and durability to cope with damaging environmental conditions. Ultrasonics and radar both meet these different challenges and, when correctly installed, provide reliable level measuring solutions for the screen house. In parallel, regular maintenance is essential for maintaining and prolonging the working life of this equipment. By ensuring all these factors are considered, better screen house performance and a lower overall cost of ownership can be achieved.

Source: http://www.hub-4.com/news/s2/10040/reliable-level-measurement-can-improve-screen-house-productivity-and-reduce-downtime

More Companies Turning to Sensors For Supply Chain Visibility

Sensors are proving to be one of the most widely adopted emerging technologies impacting supply chains today. The sensors provide data on the location and the condition of a company’s supplies and products as they are transported around the globe. Jim Hayden, vice president of solutions at Savi Technologies, a sensor analytics company, said sensors allow companies to gain end-to-end visibility of their supply chains. It’s a benefit more organizations are taking note of and continuing to drive adoption rates up.
A recent Deloitte and MHI report identified sensors and automatic identification as a top technology creating the “always-on” supply chain. Sensors are used by 44% of supply chain organizations, according to a survey of 900 supply chain industry leaders. The adoption rate falls just behind cloud computing and storage, used by 45% of organizations. A large number of organizations plan to implement sensors into their supply chains in the future, too. Eighty-seven percent of survey respondents said they plan to use the technology in the next six to 10 years.
In 2013, about 20 million sensors were estimated to be in use in supply chains. In 2022, that number is expected to grow to 1 trillion, and by 2030, the Deloitte and MHI report projects 10 trillion sensors to be deployed.

What’s Driving Adoption?
Hayden said companies have historically relied on “milestone” information of their shipments — these are general notifications that inform a company their container departed or arrived at a certain port within the last day or two, for instance. But as supply chain risks grow and companies look to gain competitive advantages, more are realizing they need to do better than capture “milestone” data. Sensors can provide arrival times within hours, instead of a day or two, Hayden said.
Savi provides both sensors and the data analytics solutions that give companies visibility into their supply chains. Hayden said companies come to Savi to tackle risk and supply chain security as well as to improve supply chain performance. On the risk and security side, Hayden said sensor technology can alert a company if their goods have been tampered with during shipment or was the victim of cargo theft, for instance. Some companies, say those in the food or pharmaceutical industries, also want to be alerted to changes in temperature and humidity as those factors can cause damage their products. Sensors are able to alert companies to these changes via text message, email or through an app on mobile devices, Hayden said, giving them time respond and prevent waste. The goal is for companies to know as soon as possible if something has happened or is likely to happen to their shipments, he said.

Barriers to Adoption
While the benefits of sensors and the data they generate may be clear, Hayden said there are still some barriers to broader adoption of the technology. Many see deploying sensors as a part of risk management, which can be tough to demonstrate clear and quick ROI on. Companies still see the technology like insurance, Hayden said. It isn’t until a company experiences a supply chain disruption or negative event that they realize they need to manage their risks.
Cost is another barrier to adoption. The Deloitte and MHI report said companies are concerned with the cost of deploying sensors as well as the costs associated with the maintenance of networks and storage space required to collect and communicate the data the sensors generate. Additional investment in analytical tools to make sense of the sensor data, too, is needed.
However, the cost of sensors has already fallen over the years. The price of an accelerometer, which can sense acceleration, shock and vibration, has declined 80% since 2006, according to the Deloitte and MHI report.
“The price of moving data across networks and of securing storage space has also plummeted and there is little reason to think the costs of technology will not continue to decline,” the report said.

Early Adopters
Hayden said Savi Technologies’ customers are generally viewed as the “early adopters” of sensor technology and data analytics. However, these “innovators” are realizing they need this technology in their supply chains to keep a maintain a leg up on the competition.
“Even if there is not a real empirical return on investment, they know in their gut it’s the right thing to do,” he said.

Source: https://spendmatters.com/2016/04/13/more-companies-turning-to-supply-chain-sensors-for-end-to-end-visibility/

Vibration sensor market projected to hold automotive industry as the fastest growing segment till 2020 according to market forecasts

According to the report “Vibration Sensor Market Analysis: By Technology (Capacitance, Piezo-resistive, Strain Gauge) By Material (Ceramics, Quartz, Silicon) By Industry (Automotive, Nuclear, Consumer Electronics, Machine & Structural Monitoring, Mining) Forecast - (2015 - 2020)”, published by IndustryARC, the Vibration Sensor Market in automotive industry to reach $881.3 million by 2020

The Vibration Sensor Market has witnessed significant deployment rate in the past few years majorly in automotive and aerospace industry. The vibration sensors in automobiles perform real time monitoring of the automobile mechanical systems in order to prevent breakdown and intimate the drivers beforehand.

The vibration sensor market in automotive industry is projected to attain market worth of $881.3m by 2020 as per the IndustryARC analysis. The recent advancements in the automobile systems such as driver assistance systems, commercial telematics solutions have embraced the sensor technology at an extensive level and have perforated high ends market of the automotive industry. OEMs are constantly making efforts to make these technologies accessible to a larger customer base rather than serving the niche segment.

The awareness among the end users has remarkably increased and is acknowledging the offered technology. Europe and North America are the dominant regions in the vibration sensors market owing to the presence of leading end user industries in nations such as The U.S.A, Canada, Germany, and the U.K.

Maintenance and Safety of the equipment has always been the prime objective of the manufacturing industry. A number of solutions has been developed integrating electronics into the mechanical components to improve the operational efficiency and minimize the complexity of the process.

Vibration sensors help to analyze the frequency and intensity of vibrations in order to take decisions regarding performance, production and quality of the object in various industries. These sensors are extensively used to determine the specific cause and location of machinery problems.

Vibration sensors are capable of measuring and analyzing displacement, linear velocity, and acceleration. These sensors primarily facilitate measurements of vibration displacement, velocity and acceleration.

With the development of computer technology, electronic technology and manufacturing process, a variety of vibration sensors have drawn attention and importance in various industry verticals. With the shift towards intelligent or automatic monitoring of machinery in manufacturing plants, vibration sensors market is estimated to benefit hugely and grow significantly in coming years.

Apart from automotive, vibration sensor has revealed promising applications for equipment maintenance in non-destructive testing, nuclear, oil & gas industry. Nuclear power plants majorly depend upon vibration monitoring systems for ensuring continuous power generation and safety of personnel and equipment.

Nuclear reactor outage costs are very high and thus unexpected downtime may lead to enormous losses to the company. Thus approximately 90% of the operation cost is utilized for the monitoring of machinery health using equipment such as vibration sensors.

In Oil & Gas industry, the vibration sensor market is speculated to register double digit CAGR by 2020. Vibration monitoring systems are highly effective in determining machinery health, planning maintenance intervals, reducing downtime and avoiding catastrophic loss.

Sensors offering hazardous area approvals are widely used on gas and oil well heads, supply lines, natural gas power engines, multi-stage gas compressors and other machinery operating in hazardous environments.

Source: http://industryarc.com/Report/165/Vibration-Sensors-Market-Forecast.html