Choosing the Most Suitable Predictive Maintenance Sensor
Condition-based monitoring (CbM) involves monitoring of machines or assets using sensors to measure the current state of health. Predictive maintenance (PdM) involves a combination of techniques such as CbM, machine learning, and analytics to predict upcoming machine or asset failures. When monitoring the health of a machine, it is critically important to select the most suitable sensors to ensure faults can be detected, diagnosed, and even predicted.
This technical article from Analog Devices seeks to clarify why predictive maintenance sensors are vital to early detection of faults in PdM applications. It will also compare the different sensor types and highlight their strengths and weaknesses.