An Automated Feature Extraction Algorithm for Diagnosis of Gear Faults

Gears are used for the transfer of mechanical power and are an important part of the electromechanical transmission system. Unexpected failure of gear could cause shutdown of the machines and proves to be expensive in terms of production loss and maintenance. Therefore, reliable condition monitoring...

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Main Authors: Irfan, M., Saad, N., Alwadie, A., Awais, M., Aman Sheikh, M., Glowacz, A., Kumar, V.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.22146 /
Published: 2019
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057893025&doi=10.1007%2fs11668-018-0573-7&partnerID=40&md5=f39c424759424fc64b24b0361ec9cfbf
http://eprints.utp.edu.my/22146/
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spelling utp-eprints.221462019-07-08T05:40:41Z An Automated Feature Extraction Algorithm for Diagnosis of Gear Faults Irfan, M. Saad, N. Alwadie, A. Awais, M. Aman Sheikh, M. Glowacz, A. Kumar, V. Gears are used for the transfer of mechanical power and are an important part of the electromechanical transmission system. Unexpected failure of gear could cause shutdown of the machines and proves to be expensive in terms of production loss and maintenance. Therefore, reliable condition monitoring is required to protect unexpected gear failures. It has been highlighted in the recently published literature that the gear faults appear at the specific gear frequencies in the instantaneous power spectrum of the motor. However, the amplitudes of these gear frequencies are very small and are shadowed by the environment noise. Thus, reliable diagnosis of gear faults is a challenge in real-time fault diagnosis systems. This issue has been addressed in this paper through the development of the automated spectral extraction algorithm. The theoretical investigation has been verified through the custom-designed experimental test rig. © 2018, ASM International. 2019 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057893025&doi=10.1007%2fs11668-018-0573-7&partnerID=40&md5=f39c424759424fc64b24b0361ec9cfbf Irfan, M. and Saad, N. and Alwadie, A. and Awais, M. and Aman Sheikh, M. and Glowacz, A. and Kumar, V. (2019) An Automated Feature Extraction Algorithm for Diagnosis of Gear Faults. Journal of Failure Analysis and Prevention, 19 (1). pp. 98-105. http://eprints.utp.edu.my/22146/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Gears are used for the transfer of mechanical power and are an important part of the electromechanical transmission system. Unexpected failure of gear could cause shutdown of the machines and proves to be expensive in terms of production loss and maintenance. Therefore, reliable condition monitoring is required to protect unexpected gear failures. It has been highlighted in the recently published literature that the gear faults appear at the specific gear frequencies in the instantaneous power spectrum of the motor. However, the amplitudes of these gear frequencies are very small and are shadowed by the environment noise. Thus, reliable diagnosis of gear faults is a challenge in real-time fault diagnosis systems. This issue has been addressed in this paper through the development of the automated spectral extraction algorithm. The theoretical investigation has been verified through the custom-designed experimental test rig. © 2018, ASM International.
format Article
author Irfan, M.
Saad, N.
Alwadie, A.
Awais, M.
Aman Sheikh, M.
Glowacz, A.
Kumar, V.
spellingShingle Irfan, M.
Saad, N.
Alwadie, A.
Awais, M.
Aman Sheikh, M.
Glowacz, A.
Kumar, V.
An Automated Feature Extraction Algorithm for Diagnosis of Gear Faults
author_sort Irfan, M.
title An Automated Feature Extraction Algorithm for Diagnosis of Gear Faults
title_short An Automated Feature Extraction Algorithm for Diagnosis of Gear Faults
title_full An Automated Feature Extraction Algorithm for Diagnosis of Gear Faults
title_fullStr An Automated Feature Extraction Algorithm for Diagnosis of Gear Faults
title_full_unstemmed An Automated Feature Extraction Algorithm for Diagnosis of Gear Faults
title_sort automated feature extraction algorithm for diagnosis of gear faults
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057893025&doi=10.1007%2fs11668-018-0573-7&partnerID=40&md5=f39c424759424fc64b24b0361ec9cfbf
http://eprints.utp.edu.my/22146/
_version_ 1741196575499091968
score 11.62408

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