Frequency Extraction of Current Signal Spectral Components: A New Tool for the Detection of Rotor Electrical Faults in Induction Motors

Panagiotou, P. A.; Arvanitakis, I.; Lophitis, N.; Gyftakis, K. N.

Abstract

This work expands the classical current signature analysis in induction machines in a two-stage spectral decomposition manner. The proposed methodology can be summarized in two main steps: initially, the current signals are analyzed using a time frequency representation, with the analysis focusing on the steady-state regime; thereafter, frequency extraction is applied to the spectral signatures of interest, aiming to identify specific fault related harmonic subcomponents induced by the fault related speed ripple effect. The proposed approach is verified experimentally on a 4 kW induction motor.

Citation

Panagiotou, P. A., Arvanitakis, I., Lophitis, N., & Gyftakis, K. N. (2019). Frequency Extraction of Current Signal Spectral Components: A New Tool for the Detection of Rotor Electrical Faults in Induction Motors. In Proceedings of the 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) (290-296). https://doi.org/10.1109/DEMPED.2019.8864893

• Conference Name: 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)
• Conference Location: Toulouse, France
• Start Date: Aug 27, 2019
• End Date: Aug 30, 2019
• Acceptance Date: Apr 28, 2019
• Online Publication Date: Oct 14, 2019
• Publication Date: 2019-08
• Deposit Date: May 5, 2020
• Publicly Available Date: May 7, 2020
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 290-296
• Book Title: Proceedings of the 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)
• ISBN: 9781728118321
• DOI: https://doi.org/10.1109/DEMPED.2019.8864893
• Keywords: broken bars, frequency extraction, spectral components, t-f analysis
• Public URL: https://nottingham-repository.worktribe.com/output/4238089
• Publisher URL: https://ieeexplore.ieee.org/document/8864893
• Additional Information: Copyright 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.