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...
| Main Authors: | Shahriar, M.R., Borghesani, P., Tan, A.C.C. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.21475 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2018
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| Online Access: |
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/21475/ |
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