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Events / What is Driving the Rapid Deployment of Wireless Sensor Devices in Condition Monitoring?
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What is Driving the Rapid Deployment of Wireless Sensor Devices in Condition Monitoring?

Analog Devices SHARC+ DSP Technology for Industrial, Consumer and Automotive Audio Applications

1st December 2021, 11:00

Hosting Platform: Zoom

With the rapid move towards digitization manufacturers are looking to extract deeper insights from their machines and assets in order to improve performance, reliability and efficiency. For decades wired CbM has been relied upon to enable this, but, as factory and maintenance managers look for faster to deploy and lower cost solutions, wireless sensor network technology has improved to a level where wire like reliability is possible for wireless CbM systems. Coupled with this improvement in wireless technology is the rapid advancement of MEMS accelerometer performance, in terms of noise and bandwidth, catapulting them into the same performance category as IEPE or piezo sensors but at much lower cost. This webinar will highlight industry trends and the move towards wireless CbM systems as well as the advancement of MEMS sensors for use in vibration monitoring. A review of existing wireless vibration systems will highlight the rapid adoption of MEMS over piezo sensors and  comprehensive suite of fault detection test data will be presented to highlight the capabilities of triaxial MEMS based wireless vibration systems.


  • Overview of CbM Market Trends
  • Comparison of MEMS accelerometers to IEPE vibration standard ISO20816?
  • Overview of Off the Shelf Wireless Vibration Monitoring Systems
  • Review of MEMS Sensor Suitability for Wireless Sensor Networks?
  • Overview of Faults Detected by a MEMS Based Wireless Sensor


Presenter: Chris Murphy 

Job Title: Staff applications engineer

Presenter Bio: Chris Murphy is a staff applications engineer with the European Centralized Applications Center, based in Dublin, Ireland. He has worked for Analog Devices since 2012, providing design support on industrial applications such as motor control and condition-based monitoring. He holds a MEng in Electronics by research and a BEng in Computer Engineering.



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