Short-Circuit Detection by Means of Empirical Mode Decomposition and Wigner-Ville Distribution for PMSM Running Under Dynamic Condition

• Published in: IEEE transactions on industrial electronics (1982) Vol. 56; no. 11; pp. 4534 - 4547
• Main Authors: Rosero, J.A., Romeral, L., Ortega, J.A., Rosero, E.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2009; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithm design and analysis; Algorithms; Analytical models; Computer simulation; Decomposition; Electric machines; Empirical analysis; empirical mode decomposition (EMD); Failure analysis; Fault detection; fault diagnosis; intrinsic mode function (IMF); Laboratories; motor diagnosis; Motors; permanent-magnet motors; Running; Stators; Steady-state; Synchronous motors; Testing; Time frequency analysis; Wigner-Ville distribution (WVD)
• ISSN: 0278-0046; 1557-9948
• DOI: 10.1109/TIE.2008.2011580

This paper presents and analyzes a method for short-circuit fault detection in a permanent-magnet synchronous motor (PMSM). The study includes steady-state condition and speed transients in motor operation. The stator current is decomposed by empirical mode decomposition (EMD), which generates a set of intrinsic mode functions (IMFs). Quadratic time-frequency (TF) distributions such as smoothed pseudo-Wigner-Ville and Zhao-Atlas-Marks are applied on the more significant IMFs for fault detection. Simulations and experimental laboratory tests validate the algorithms and demonstrate that this kind of TF analysis can be applied to detect and identify short-circuit failures in PMSM.