Applications of a Strong Track Filter and LDA for On-Line Identification of a Switched Reluctance Machine Stator Inter-Turn Shorted-Circuit Fault

Li Xiao, Hexu Sun, Liyi Zhang, Feng Niu, Lu Yu and Xuhe Ren
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Li Xiao: College of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China
Hexu Sun: College of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, China
Liyi Zhang: College of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China
Feng Niu: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Lu Yu: College of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China
Xuhe Ren: College of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China

Energies, 2019, vol. 12, issue 1, 1-16

Abstract: Reliability is pivotal significance for switched reluctance machine drives (SRD) applied to safety essential transportation and industrial fields. An inter-turn shorted-circuit fault (ISCF) could incite the machine to operate in unbalanced status, resulting in the noise increases. In the event such a fault remains untreated, the fault will further destroy the rest of the normal phases, even leading to a tragic incident for the entire drive application. To improve the reliability of SRD, an efficient on-line fault diagnosis method for ISCF should be proposed. This paper is focused on employing the strong track filter (STF) to achieve real-time phase resistance differences between before and after ISCF, which are used as features to diagnose the fault occurrence and the fault phase. Furthermore, a classification namely as linear discriminant analysis (LDA) is selected to estimate fault severity. Finally, simulation and experiments correspond to various running statuses are executed and their results can verify that the diagnosis method has accuracy and robustness.

Keywords: inter-turn shorted-circuit fault (ISCF); strong track filter (STF); linear discriminant analysis (LDA); switched reluctance machine (SRM) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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