Author:
Shi Dawei,Wang Zuolu,Wang Hongjun,Chen Qishan,He Yinghang,Feng Guojin,Gu Fengshou
Publisher
Springer Nature Switzerland
Reference14 articles.
1. Gangsar, P., Tiwari, R.: Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: a state-of-the-art review. Mech. Syst. Signal Process. 144(4), 106908 (2020)
2. Wang, Z., Yang, J., Li, H., Zhen, D., Gu, F., Ball, A.: Improved cyclostationary analysis method based on TKEO and its application on the faults diagnosis of induction motors. ISA Trans. 128, 513–530 (2021)
3. Kliman, G.B., Stein, J.: Induction motor fault detection via passive current monitoring. In: Proceedings of the International Conference on Electrical Machines, Cambridge, MA, pp. 13–17, August 1990
4. Nirwan, N.W., Ramani, H.B.: Condition monitoring and fault detection in roller bearing used in rolling mill by acoustic emission and vibration analysis. Mater. Today Proc. 51, 344–354 (2022)
5. Al-Musawi, A.K., Anayi, F., Packianather, M.: Three-phase induction motor fault detection based on thermal image segmentation. Infrared Phys. Technol. 104, 103140 (2019)