Moving Integration Filter-Based Open-Switch Fault-Diagnosis Method for Three-Phase Induction Motor Drive Systems

• Published in: IEEE transactions on transportation electrification Vol. 6; no. 3; pp. 1093 - 1103
• Main Authors: Shi, Shuqi, Sun, Yao, Li, Xing, Dan, Hanbing, Su, Mei
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.09.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Circuit faults; False alarms; Fault detection; Fault diagnosis; induction motor drive; Induction motor drives; Induction motors; model predictive control; moving integration filter; Predictive control; Robustness (mathematics); Switches; Voltage control; Voltage measurement
• ISSN: 2332-7782; 2577-4212; 2332-7782
• DOI: 10.1109/TTE.2020.2999692

Reliable fault-diagnosis is essential to the induction motor drive systems in some special applications. In this article, we present a simple and robust fault-diagnosis scheme for three-phase induction motor drive systems. As the proposed fault-diagnosis method is based on the framework of model predictive control, many shared data can be fully utilized, and the computation burden is greatly reduced. To improve the robustness of fault detection, a moving integration filter-based residuals' construction method is proposed, which reduces both the false alarms rate and the rate of missed detection. According to the order of the constructed residuals and the sign of current errors, it is easy to accomplish the task of fault isolation. Experimental results are presented to demonstrate the effectiveness of the proposed fault-diagnosis method.