Air Gap Flux-Based Detection and Classification of Damper Bar and Field Winding Faults in Salient Pole Synchronous Motors
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Yonghyun | - |
dc.contributor.author | Lee, Sang Bin | - |
dc.contributor.author | Yun, Jangho | - |
dc.contributor.author | Sasic, Mladen | - |
dc.contributor.author | Stone, Greg C. | - |
dc.date.accessioned | 2021-08-30T20:23:28Z | - |
dc.date.available | 2021-08-30T20:23:28Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2020-07 | - |
dc.identifier.issn | 0093-9994 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/54867 | - |
dc.description.abstract | Recent cases of broken damper bars and shorted field winding turns in synchronous motors (SMs) have shown that rotor faults can degrade motor performance and lead to a forced outage of the motor and driven process. However, detection of SM rotor faults has not received much attention since SMs are not as common as induction motors. Detection of SM rotor faults is difficult, as the damper bar is active only under the starting or load transients, and shorted field winding turns result only in a slight increase in rotating asymmetry. SM rotor fault testing in the field mainly relies on visual inspection or off-line tests, and new test methods that can provide reliable detection of the faults without motor disassembly is highly desirable. In this article, new test methods for not only detecting, but also classifying the two types of SM rotor faults under motor standstill and starting are proposed. A finite element and experimental study on 1.1 MW and 30 kW salient pole SMs are provided to verify the proposed methods. It is shown that damper and field winding faults can be detected and classified with high sensitivity and reliability compared to conventional tests. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Air Gap Flux-Based Detection and Classification of Damper Bar and Field Winding Faults in Salient Pole Synchronous Motors | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Sang Bin | - |
dc.identifier.doi | 10.1109/TIA.2020.2983902 | - |
dc.identifier.wosid | 000550744700024 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, v.56, no.4, pp.3506 - 3515 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | - |
dc.citation.title | IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | - |
dc.citation.volume | 56 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 3506 | - |
dc.citation.endPage | 3515 | - |
dc.type.rims | ART | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordAuthor | Rotors | - |
dc.subject.keywordAuthor | Shock absorbers | - |
dc.subject.keywordAuthor | Bars | - |
dc.subject.keywordAuthor | Windings | - |
dc.subject.keywordAuthor | Synchronous motors | - |
dc.subject.keywordAuthor | Induction motors | - |
dc.subject.keywordAuthor | Circuit faults | - |
dc.subject.keywordAuthor | Air gap flux | - |
dc.subject.keywordAuthor | damper bar | - |
dc.subject.keywordAuthor | fault diagnostics | - |
dc.subject.keywordAuthor | field winding | - |
dc.subject.keywordAuthor | off-line testing | - |
dc.subject.keywordAuthor | salient pole synchronous motor (SM) | - |
dc.subject.keywordAuthor | search coil | - |
dc.subject.keywordAuthor | spectral analysis | - |
dc.subject.keywordAuthor | starting transient | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.