A new method for early fault detection and diagnosis of broken rotor bars
| dc.contributor.author | Aydin, Ilhan | |
| dc.contributor.author | Karakose, Mehmet | |
| dc.contributor.author | Akin, Erhan | |
| dc.date.accessioned | 2026-08-12T17:46:11Z | |
| dc.date.issued | 2011 | |
| dc.department | Fırat Üniversitesi | |
| dc.description.abstract | A new method has been developed for the detection and diagnosis of broken rotor bars faults in three-phase induction motors under no-load conditions. Early detection of faults is made by using a sliding window constructed by Hilbert transforms of one of the phases of the thee-phase currents and the size of a fault is diagnosed by motor current signature analysis (MCSA) of the stored Hilbert transforms of several periods of one-phase current. The information entropy of a symbol tree generated by each sliding window is used as a fault index. The method was tested using healthy and damaged 0.37 kW induction motors under no-load conditions with applied voltages ranging from 220 V to 380 V. One and two broken rotor bars were detected under no-load conditions when supply voltages were 260 V and above. The results indicate that the method yields a high degree of accuracy in fault identification. (C) 2010 Elsevier Ltd. All rights reserved. | |
| dc.description.sponsorship | TUBITAK (The Scientific and Technological Research Council of Turkey) [109E105] | |
| dc.description.sponsorship | This work was supported by the TUBITAK (The Scientific and Technological Research Council of Turkey) under Grant No: 109E105. | |
| dc.identifier.doi | 10.1016/j.enconman.2010.11.018 | |
| dc.identifier.endpage | 1799 | |
| dc.identifier.issn | 0196-8904 | |
| dc.identifier.issn | 1879-2227 | |
| dc.identifier.issue | 4 | |
| dc.identifier.orcid | 0000-0002-3276-3788 | |
| dc.identifier.scopus | 2-s2.0-78650740088 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 1790 | |
| dc.identifier.uri | https://doi.org/10.1016/j.enconman.2010.11.018 | |
| dc.identifier.uri | https://hdl.handle.net/11508/60975 | |
| dc.identifier.volume | 52 | |
| dc.identifier.wos | WOS:000287555700004 | |
| dc.identifier.wosquality | Q1 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Pergamon-Elsevier Science Ltd | |
| dc.relation.ispartof | Energy Conversion and Management | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_WoS_20260511 | |
| dc.subject | Motor current signature analysis | |
| dc.subject | Fault diagnosis | |
| dc.subject | Sliding window | |
| dc.subject | Hilbert transform | |
| dc.subject | Induction motors | |
| dc.title | A new method for early fault detection and diagnosis of broken rotor bars | |
| dc.type | Article |







