TY - JOUR
T1 - The Design and Fabrication of an On-Rotor Sensing Wireless Vibration Node for Motor Condition Monitoring
AU - Shi, Dawei
AU - Feng, Guojin
AU - Du, Xinda
AU - Zhou, Zewen
AU - Gu, Fengshou
AU - Ball, Andrew
N1 - Funding Information:
The authors appreciate the support from the National Natural Science Foundation of China under Grant 52275102, Natural Science Foundation of Hebei Province under Grant E2022202047, Hebei Provincial Department of Education under Grant C20220315. (Corresponding author: Fengshou Gu).
Publisher Copyright:
© 1963-2012 IEEE.
PY - 2024/9/17
Y1 - 2024/9/17
N2 - With the advancement of electronics and micromanufacturing technology, the micro-electromechanical system (MEMS) sensor is being manufactured with higher performance, providing excellent potential for developing cost-effective condition monitoring systems. Traditional accelerometer sensing methods are affected by strong background noise, limiting the performance of monitoring various electric motors. Hence, a new on-rotor sensing (ORS) method is presented in this article to measure acceleration directly on the rotating rotor of motors. The ORS system consists mainly of an embedded MEMS accelerometer to directly sense vibration on rotors and a Bluetooth low energy (BLE) 5.0 module to implement over-the-air vibration data transmission. Specifically, the ORS sensor node can be mounted directly on a motor shaft and rotates with the rotor shaft. By such a configuration, the accelerometer is close to the vibration source and the signal perceived has a high signal-to-noise ratio (SNR). As a result, it can be sensitive to small changes in rotor systems for early stage rotor fault detection and accurate fault severity diagnosis. To meet the general requirement for vibration-based condition monitoring of a wide range of motors, the wireless ORS sensor node is fabricated with a dynamic range from ±2 to ±16 g at a sampling rate of 16 kHz. The experimental results based on a widely used 4-kW ac motor show that the ORS node can achieve a higher SNR of over 45 dB compared to a traditional accelerometer, resulting in a high amplitude response at the fault frequency, allowing the progression of the faults to be monitored more accurately.
AB - With the advancement of electronics and micromanufacturing technology, the micro-electromechanical system (MEMS) sensor is being manufactured with higher performance, providing excellent potential for developing cost-effective condition monitoring systems. Traditional accelerometer sensing methods are affected by strong background noise, limiting the performance of monitoring various electric motors. Hence, a new on-rotor sensing (ORS) method is presented in this article to measure acceleration directly on the rotating rotor of motors. The ORS system consists mainly of an embedded MEMS accelerometer to directly sense vibration on rotors and a Bluetooth low energy (BLE) 5.0 module to implement over-the-air vibration data transmission. Specifically, the ORS sensor node can be mounted directly on a motor shaft and rotates with the rotor shaft. By such a configuration, the accelerometer is close to the vibration source and the signal perceived has a high signal-to-noise ratio (SNR). As a result, it can be sensitive to small changes in rotor systems for early stage rotor fault detection and accurate fault severity diagnosis. To meet the general requirement for vibration-based condition monitoring of a wide range of motors, the wireless ORS sensor node is fabricated with a dynamic range from ±2 to ±16 g at a sampling rate of 16 kHz. The experimental results based on a widely used 4-kW ac motor show that the ORS node can achieve a higher SNR of over 45 dB compared to a traditional accelerometer, resulting in a high amplitude response at the fault frequency, allowing the progression of the faults to be monitored more accurately.
KW - On-rotor sensing
KW - Motor fault diagnosis
KW - Vibration monitoring
KW - MEMS sensor
KW - Bluetooth low energy 5.0
KW - Condition monitoring
KW - Micromechanical devices
KW - Vibrations
KW - Wireless communication
KW - Wireless sensor networks
KW - Motors
KW - Monitoring
KW - micro-electromechanical system (MEMS) sensor
KW - on-rotor sensing (ORS)
KW - vibration monitoring
KW - Bluetooth low energy (BLE) 5.0
KW - motor fault diagnosis
UR - http://www.scopus.com/inward/record.url?scp=85200814760&partnerID=8YFLogxK
U2 - 10.1109/TIM.2024.3440382
DO - 10.1109/TIM.2024.3440382
M3 - Article
VL - 73
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
SN - 0018-9456
M1 - 10630845
ER -