Non-invasive real-time diagnosis of PMSM faults implemented in motor control software for mission critical applications
-
Published:2024-06
Issue:
Volume:232
Page:114684
-
ISSN:0263-2241
-
Container-title:Measurement
-
language:en
-
Short-container-title:Measurement
Author:
Demirel AykutORCID,
Keysan OzanORCID,
El-Dalahmeh Ma'd,
Al-Greer MaherORCID
Reference43 articles.
1. Fault diagnosis and fault-tolerant control of PMSM drives-state of the art and future challenges;Orlowska-Kowalska;IEEE Access,2022
2. “Faults in induction and synchronous motors”, in electric machines;Akin,2012
3. A. Usman, B. M. Joshi, and B. S. Rajpurohit, “Review of fault modeling methods for permanent magnet synchronous motors and their comparison,” Proc. 2017 IEEE 11th Int. Symp. Diagnostics Electr. Mach. Power Electron. Drives, SDEMPED 2017, vol. 2017-Janua, pp. 141–146, 2017.
4. A simple method for identifying mass unbalance using vibration measurement in permanent magnet synchronous motors;Rafaq;IEEE Trans. Ind. Electron.,2022
5. Feature Extraction for short-circuit fault detection in permanent-magnet synchronous motors using stator-current monitoring;Ebrahimi;IEEE Trans. Power Electron.,2010