Proceedings of the
9th International Conference of Asian Society for Precision Engineering and Nanotechnology (ASPEN2022)
15 – 18 November 2022, Singapore
doi:10.3850/978-981-18-6021-8_OR-08-0275
Non-Contact Equipment Fault Detection Using Audio and Magnetic Sensors
1Industrial IoT Innovation, A*STAR, #05-06, CleanTech Two, Singapore 637143
2Roll-Royce Electrical, Singapore 637718
3Roll-Royce @NTU Corporate Lab, Singapore 637718
ABSTRACT
The accelerometer is widely used to measure the vibrations of equipment for monitoring the health condition and predicting the potential failure of the equipment. In the application, the accelerometer has to mount on the equipment rigidly for getting the good quality vibration signals. Adding the accelerometer on the existing equipment could be a challenge due to the space limitation, the right location, etc. It is beneficial to have non-contact sensor to monitor equipment condition for the detection of the anomaly and the fault. This paper applies the audio sensor for the vibration monitoring and the magnetic sensor for motor operation monitoring both in non-contact deployment on the equipment fault simulator. The audio sensor is able to detect both bearing fault and gear fault. The magnetic sensor can detect gear fault.
Keywords: Machine fault, Non-contact sensing, Audio sensor, Magnetic sensor
1Industrial IoT Innovation, A*STAR, #05-06, CleanTech Two, Singapore 637143
2Roll-Royce Electrical, Singapore 637718
3Roll-Royce @NTU Corporate Lab, Singapore 637718
ABSTRACT
The accelerometer is widely used to measure the vibrations of equipment for monitoring the health condition and predicting the potential failure of the equipment. In the application, the accelerometer has to mount on the equipment rigidly for getting the good quality vibration signals. Adding the accelerometer on the existing equipment could be a challenge due to the space limitation, the right location, etc. It is beneficial to have non-contact sensor to monitor equipment condition for the detection of the anomaly and the fault. This paper applies the audio sensor for the vibration monitoring and the magnetic sensor for motor operation monitoring both in non-contact deployment on the equipment fault simulator. The audio sensor is able to detect both bearing fault and gear fault. The magnetic sensor can detect gear fault.
Keywords: Machine fault, Non-contact sensing, Audio sensor, Magnetic sensor
