Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/32776
Title: | Frequency Extraction of Current Signal Spectral Components: A New Tool for the Detection of Rotor Electrical Faults in Induction Motors | Authors: | Panagiotou, P. A. Arvanitakis, I. Lophitis, Neophytos Gyftakis, K. N. |
Major Field of Science: | Engineering and Technology | Keywords: | Broken bars;Frequency extraction;Spectral components;T-f analysis | Issue Date: | 1-Aug-2019 | Source: | Proceedings of the 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2019, 2019, Pages 290 - 296 | Start page: | 290 | End page: | 296 | Journal: | International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2019 | 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. | URI: | https://hdl.handle.net/20.500.14279/32776 | ISBN: | [9781728118321] | DOI: | 10.1109/DEMPED.2019.8864893 | Rights: | Attribution-NonCommercial-NoDerivatives 4.0 International | Type: | Conference Papers | Affiliation : | Coventry University University of Edinburgh |
Publication Type: | Peer Reviewed |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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Frequency_Extraction_of_Current_Signal_Spectral_Components_A_New_Tool_for_the_Detection_of_Rotor_Electrical_Faults_in_Induction_Motors.pdf | 1.97 MB | Adobe PDF | View/Open |
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