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Choosing the Most Suitable Predictive Maintenance Sensor

Chris Murphy
Chris Murphy | Applications Engineer, Analog Devices, Inc

WEBINAR DESCRIPTION:

When monitoring the health of a machine, tasked with keeping a process running, it is vitally important to select the most suitable sensors to ensure faults can be detected, diagnosed and even predicted thus avoiding unplanned downtime and loss of revenue. In this webinar we will discuss which predictive maintenance sensors are vital to early detection of faults in a PdM application as well as their strengths and weaknesses.

Learning Takeaways:

1) Compare MEMS Microphones and MEMS Accelerometers to the gold standard vibration sensor – Piezo Accelerometers
2) Know the key strengths and weaknesses of PdM Sensors
3) Know how MEMS Accelerometers are changing the vibration sensor landscape
4. How to use an ROI Calculator to justify investing in precision alignment tools/efforts

ABOUT THE PRESENTER

Chris Murphy is an applications engineer with the European Centralized Applications Center, based in Dublin, Ireland. He has worked for Analog Devices since 2012, providing design support on motor control and industrial automation products. He holds a masterʼs of engineering in electronics by research and a bachelorʼs of engineering in computer engineering.

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About the Author

Chris Murphy
Chris Murphy Applications Engineer, Analog Devices, Inc

Chris Murphy is an applications engineer with the European Centralized Applications Center, based in Dublin, Ireland. He has worked for Analog Devices since 2012, providing design support on motor control and industrial automation products. He holds a masterʼs of engineering in electronics by research and a bachelorʼs of engineering in computer engineering