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

Panagiotis Panagiotou, I. Arvanitakis, N. Lophitis, Konstantinos Gyftakis

Research output: Contribution to conferencePaperpeer-review

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.
Original languageEnglish
Publication statusAccepted/In press - 2019
EventIEEE SDEMPED 2019: Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives - Toulouse, France
Duration: 27 Aug 201930 Aug 2019

Conference

ConferenceIEEE SDEMPED 2019
Country/TerritoryFrance
CityToulouse
Period27/08/1930/08/19

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