Remote Monitoring & Access

Why machine builders must monitor vibration and corrosion

Nine industry experts explain how sensors benefit from high-speed connectivity, greater bandwidth, wireless technology and built-in intelligence.

By Mike Bacidore, editor in chief

As remote monitoring became a reality, traditional process variables—pressure, temperature, level and flow—were obvious candidates for measurement. But monitoring capabilities continue to expand through wireless capabilities, PoE and energy harvesting for low-power sensors. Plants are awakening to the economic benefits of avoiding equipment downtime and mitigating the risk of environmental impact.

The ability to measure vibration and transmit that dense data and wireless accelerometers that enable balancing are major benefits to plants with rotating equipment. And efforts to protect vessels, vats, pipes and pumps from corrosion have accelerated the development of monitoring capabilities, as well. Our panel of nine industry experts explain how sensing technologies have brought remote monitoring of vibration and corrosion to the plant.

Related white paper: The essentials of remote access  

It seems the only limit to data is the device that collects it. What technology developments have expanded the abilities to monitor vibration, corrosion and other variables?

Weishung Liu webWeishung Liu, Fluke Industrial Group: Recent developments in vibration sensors, data acquisition and analysis technologies are making vibration analysis cheaper, easier and more widely available. We have a vibration meter, for example, that in a couple of seconds can measure a wide range of frequencies (10 to 1,000 Hz and 4,000 to 20,000 Hz), covering most machine and component types. Plus, vibration spectra can be uploaded to a smart phone and transmitted to always-on data centers where the information can be accessed from anywhere.

Weishung Liu is product planner at Fluke Industrial Group

Jason Tranter web

Jason Tranter, Mobius Institute: Wireless sensors and smart sensors that are able to measure, analyze, compress and communicate measurement and diagnostic information greatly increase the ability to monitor vibration and other parameters thanks in large part to the reduction in the installed cost.

Jason Tranter is founder and managing director of Mobius Institute. 

Stew Thompson webStew Thompson, CAS Data Loggers: Nowadays cloud storage transcends the traditional memory limitations of measurement devices such as data recorders and data acquisition systems. Today’s products provide users with continual monitoring and analysis functions, intelligent signal processing and versatile fieldbus connections, all in a single device. All measured values can be transferred to online storage and will work on PCs or servers.

Stew Thompson is technical writer at CAS Data Loggers

Tim Senkbeil webTim Senkbeil, Belden: Innovations in sensor technology occur constantly. High-resolution cameras, microelectromechanical systems (MEMS) technology and other advanced technologies are being incorporated into smart input and output devices all the time. These advances allow for devices that can predict their own failures or report a need for calibration or other adjustments. The sheer volume of information that these devices can provide could overwhelm the computing power of a centralized control system. Instead of increasing the computing power and cost of the central control system, distributed control with lower cost devices allows systems to handle and act on the large amount of data provided by these smart systems. As we move into the era of the 4th Industrial Revolution or Industrie 4.0, these distributed control devices will be critical in implementing highly configurable and reconfigurable systems.

Tim Senkbeil is product line manager, Industrial Connectivity Division, at Belden

Mitesh Patel webMitesh Patel, TCS: Few things need to be processed onboard the measuring devices. If data can be transmitted to a remote location with high speeds leveraging technologies like IoT, the compute capacity available over cloud is virtually limitless. With the development in the space of mobility and IoT, small device with huge compute capacity are easily available at very affordable prices. Complex sensing like vibration, acoustics and vision, which were once a luxury to have, are now making their way into every possible application. Research in advanced sensing is making complex measuring possible. There is a lot been discussed about the ability to detect fatigue stress in mechanical components with minimal sensory devices attached to it. This has huge potential in industries such as aviation or asset-intense operations such as oil and gas.

Corrosion is another important area where sensing is possible. Today large and expensive equipment can have the ability to have built-in corrosion sensing. Alternatively, people use measuring devices for test purposes. A lot needs to improve, so that it will be possible to include built-in capability in a wide variety of applications.

Development in these areas are eased with the advent of edge-computing technology, but this also needs help from fundamental research around the physics and science of the phenomena being measured. Techniques for measuring corrosion potential, hydrogen flux monitoring or other forms of chemical analysis are commonly used in crafting non-intrusive corrosion detection, but this needs further development for sensors to be versatile.

Mitesh Patel heads Internet of Things for the manufacturing industry solution unit at TCS.

Joe Van Dyke webJoe Van Dyke, Azima DLI: Portable vibration data collection devices that, in addition to triaxial vibration readings, allow audio and visual recording into an onboard database and synchronize that database with the cloud platform are a very powerful tool. Other very effective enhancements available are refined automated diagnostics systems that consider all machinery readings and surrounding systems in producing the diagnosis. Devices that provide for live interaction between specialists and the technician gathering the readings and sharing of the data via the cloud with other plants or areas in the enterprise are very powerful tools in condition monitoring.

Joe Van Dyke is vice president of operations at Azima DLI. 

Paula Hollywood webPaula Hollywood, ARC Advisory Group: Information-driven manufacturing increases requirements for sensor-based data from manufacturing assets, resulting in a trend toward increased functionality at the sensor level, specifically increased signal processing capability, energy management, self-monitoring and miniaturization.. The simple sensors of the past have morphed into increasingly integrated and intelligent sensor systems, boasting hardware with ever greater capabilities. Sensors are increasingly able to perform correction computations, compensate for cross-sensitivity, provide application-specific algorithms, perform self-monitoring, and contain their own communication interface. Faster signal processing with lower noise levels and higher resolution consumes less energy and is suitable for operation in a wider range of ambient conditions. Of course, wireless communication technology enables installation of sensors in remote areas that have historically been cost-prohibitive to monitor.

Paula Hollywood is senior analyst at ARC Advisory Group.

Bob Drexel webBob Drexel, ifm efector: MEMS technology for accelerometers has created self-diagnosing sensors for calibration verification. This allows for permanent continuous monitoring that leverages trending instead of requiring high-level training and skill in difficult physic theory. Access to digital highways enables transportation of information to concentrated skilled centers. The digital revolution is now surpassing humans as the interface, as machines will interact directly.

Bob Drexel is product manager, process sensors, at ifm efector.

Brett Burger webBrett Burger, National Instruments: There can be several limitations when it comes to getting data for diagnostic. From the sensor and acquisition standpoint, the ever-increasing processing power is helping to drive more data and information collection from machines. High-speed sensors and measurement equipment coupled with processing at the edge means the benefits of high-speed data can be coupled with existing network bandwidth and storage restrictions. This is helping the transition from route-based strategies to permanently online strategies and ultimately provide better coverage of expanding asset fleets.

The growth of platforms are expanding the sensing capability of diagnostic measurement systems. If you were to take apart a system designed to measure vibration, one for motor current and one for shaft alignment, you would find many similar—not identical, to be sure—components. The platform approach looks at these solutions as dozens of discrete functions, rather than three unique devices. The common functions are grouped and shared to form the core of the platform while the unique functions are designed as modular hardware and software components. This makes it easier to expand systems with new measurements and capabilities because new design is reduced to the unique segmenting elements of the new capability, rather than a whole new design.

Brett Burger is principal marketing engineer at National Instruments.


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