Electrical Signature Analysis-Based Detection of External Bearing Faults in Electromechanical Drivetrains
An electrical signature analysis (ESA)-based method to detect bearing defects in electromechanical drivetrains (e.g., wind turbines) is proposed in this paper. The novelty of the proposed technique is justified by its capability to detect a defect that occurs in a drivetrain bearing, external to the...
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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 出版事項: |
Institute of Electrical and Electronics Engineers Inc.
2018
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038853139&doi=10.1109%2fTIE.2017.2782240&partnerID=40&md5=3e4f9c48da3bc0b85eb19552ad65962f http://eprints.utp.edu.my/20825/ |
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