Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/32776
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Panagiotou, P. A. | - |
dc.contributor.author | Arvanitakis, I. | - |
dc.contributor.author | Lophitis, Neophytos | - |
dc.contributor.author | Gyftakis, K. N. | - |
dc.date.accessioned | 2024-08-07T05:23:01Z | - |
dc.date.available | 2024-08-07T05:23:01Z | - |
dc.date.issued | 2019-08-01 | - |
dc.identifier.citation | Proceedings of the 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2019, 2019, Pages 290 - 296 | en_US |
dc.identifier.isbn | [9781728118321] | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/32776 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2019 | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Broken bars | en_US |
dc.subject | Frequency extraction | en_US |
dc.subject | Spectral components | en_US |
dc.subject | T-f analysis | en_US |
dc.title | Frequency Extraction of Current Signal Spectral Components: A New Tool for the Detection of Rotor Electrical Faults in Induction Motors | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | Coventry University | en_US |
dc.collaboration | University of Edinburgh | en_US |
dc.journals | Open Access | en_US |
dc.country | United Kingdom | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1109/DEMPED.2019.8864893 | en_US |
dc.identifier.scopus | 2-s2.0-85074265363 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85074265363 | - |
cut.common.academicyear | 2019-2020 | en_US |
dc.identifier.spage | 290 | en_US |
dc.identifier.epage | 296 | en_US |
item.openairetype | conferenceObject | - |
item.cerifentitytype | Publications | - |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-0901-0876 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
Files in This Item:
File | Description | Size | Format | |
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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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