Dawei Shi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Dawei Shi has a total of 17 co-authors. Here are the top co-authors by number of shared publications:
- Fengshou Gu
School of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK
4 shared publications Andrew D. Ball
University of Huddersfield
2 shared publicationsGuojin Feng
Hebei university of Technology
2 shared publicationsYinghang He
University of Huddersfield
2 shared publications- Andrew Ball
Department of Engineering and Technology, University of Huddersfield, Huddersfield, UK
1 shared publication Baoshan Huang
Beijing Institute of Technology
1 shared publication
Latest Publications
- 8 August 2024
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Instrumentation and Measurement
- Vol. 73 (00189456) , 1-11
The Design and Fabrication of an On-Rotor Sensing Wireless Vibration Node for Motor Condition Monitoring
With the advancement of electronics and micro manufacturing technology, the micro-electro-mechanical 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 paper 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 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 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 g 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.
- 8 August 2024
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Instrumentation and Measurement
- Vol. 73 (00189456) , 1-11
The Design and Fabrication of an On-Rotor Sensing Wireless Vibration Node for Motor Condition Monitoring
With the advancement of electronics and micro manufacturing technology, the micro-electro-mechanical 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 paper 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 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 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 g 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.
- 29 May 2024
- Published by Springer Nature
- p. 819-831
Power Consumption Analysis of an On-Rotor Sensing Sensor Node for Motor Vibration Monitoring
- 29 May 2024
- Published by Springer Nature
- p. 819-831
Power Consumption Analysis of an On-Rotor Sensing Sensor Node for Motor Vibration Monitoring
- Top Cited PapersOpen Access
- 29 September 2023
- Published by Elsevier in Measurement
- Vol. 222
Early rolling bearing fault diagnosis in induction motors based on on-rotor sensing vibrations
- 29 September 2023
- Published by Elsevier in Measurement
- Vol. 222
Top Cited PapersOpen AccessEarly rolling bearing fault diagnosis in induction motors based on on-rotor sensing vibrations
- 4 March 2023
- Published by Springer Nature
- p. 1100-1112
Diagnosis of Motor Bearing Faults Using the Vibration of an On-Rotor Sensing Method
- 4 March 2023
- Published by Springer Nature
- p. 1100-1112
Diagnosis of Motor Bearing Faults Using the Vibration of an On-Rotor Sensing Method