Choosing the Most Suitable Predictive Maintenance Sensor

In a predictive maintenance program, machines or assets are monitored to measure the current state of health. There are many different types of sensors that can be used for this task. However, it can be difficult to match the sensor to the application. In this article from Analog Devices, learn more about the various types of sensors and how to deploy them effectively.

After installation, an industrial motor exists on a health timeline - with motor failure being the end. Faults can be detected at various points in this timeline by different types of maintenance programs or sensors, from ongoing preventative maintenance to vibration sensing to temperature sensing to auditory sensing. In the following table, find out more about the types of sensors available and the types of faults they are best at detecting. 

 

Measurement

Sensor

Key Information

Target Faults

Vibration

Piezo accelerometer

Low noise, frequencies up to 30 kHz, well established in CbM applications

Bearing condition, gear meshing, pump cavitation, misalignment, imbalance, load condition

Vibration

MEMS accelerometer

Low cost/power/size, frequencies up to 20 kHz+

Bearing condition, gear meshing, pump cavitation, misalignment, imbalance, load condition

Sound pressure

Microphone

Low cost/power/size, frequencies up to 20 kHz

Bearing condition, gear meshing, pump cavitation, misalignment, imbalance, load condition

Sound pressure

Ultrasonic microphone

Low cost/power/size, frequencies up to 100 kHz

Pressure leaks, bearing condition, gear meshing, pump cavitation, misalignment, imbalance

Motor current

Shunt, current transformer

Low cost, noninvasive, usually measured at motor supply

Eccentric rotors, winding issues, rotor bar issues, supply imbalance, bearing issues

Magnetic field

Hall, magnetometer, search coil

Low cost/size, frequencies up to 250 Hz, stable over temperature

Rotor bar, end ring issues

Temperature

Infrared thermography

Expensive, accurate, multiple assets/sources of heat at one time

Heat source location due to friction, load changes, excessive start/stop, insufficient power supply

Temperature

RTD, thermocouple, digital

Low cost, size, accurate

Change in temperature due to friction, load changes, excessive start/stop, insufficient power supply

Oil quality

Particle monitor

Viscosity, particles, and contamination

Detect debris from wear

 

Historically, condition-based monitoring (CbM) systems have been based on sensors that are hard-wired into a central monitoring system. With the advent of wireless technology, though, CbM is poised to be installed and used more often due to the comparative ease of installation. Analog Devices has continually been at the forefront of sensor development, and has introduced new products to meet the demands of today’s production facilities. 

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