A Condition Monitoring System for the Analysis of Bearing Distributed Faults

Condition monitoring is used in the plants to protect rotating equipments from failures and assist the management to plan a required shutdown before failure of the equipment. Bearings are the one of the important components in the rotating machines and premature failure of bearings causes huge finan...

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Main Authors: Irfan, M., Saad, N., Ali, A., Vinoth Kumar, K., Aman Sheikh, M., Awais, M.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.23674 /
Published: Institute of Electrical and Electronics Engineers Inc. 2019
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080124647&doi=10.1109%2fUEMCON47517.2019.8993006&partnerID=40&md5=03e9d2d33e6d44d6575de8233ffca3aa
http://eprints.utp.edu.my/23674/
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spelling utp-eprints.236742021-08-19T08:08:07Z A Condition Monitoring System for the Analysis of Bearing Distributed Faults Irfan, M. Saad, N. Ali, A. Vinoth Kumar, K. Aman Sheikh, M. Awais, M. Condition monitoring is used in the plants to protect rotating equipments from failures and assist the management to plan a required shutdown before failure of the equipment. Bearings are the one of the important components in the rotating machines and premature failure of bearings causes huge financial loses. This paper attempts to analyze the bearing distributed faults through a non-invasive diagnostics approach. The distributed faults are created in the bearing using electric discharge machine. The test rig has been developed for the experimental investigations of the Park analysis approach. The results of the proposed Park approach have been analyzed and shown to be a reliable diagnostics approach for the bearing distributed faults. © 2019 IEEE. Institute of Electrical and Electronics Engineers Inc. 2019 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080124647&doi=10.1109%2fUEMCON47517.2019.8993006&partnerID=40&md5=03e9d2d33e6d44d6575de8233ffca3aa Irfan, M. and Saad, N. and Ali, A. and Vinoth Kumar, K. and Aman Sheikh, M. and Awais, M. (2019) A Condition Monitoring System for the Analysis of Bearing Distributed Faults. In: UNSPECIFIED. http://eprints.utp.edu.my/23674/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Condition monitoring is used in the plants to protect rotating equipments from failures and assist the management to plan a required shutdown before failure of the equipment. Bearings are the one of the important components in the rotating machines and premature failure of bearings causes huge financial loses. This paper attempts to analyze the bearing distributed faults through a non-invasive diagnostics approach. The distributed faults are created in the bearing using electric discharge machine. The test rig has been developed for the experimental investigations of the Park analysis approach. The results of the proposed Park approach have been analyzed and shown to be a reliable diagnostics approach for the bearing distributed faults. © 2019 IEEE.
format Conference or Workshop Item
author Irfan, M.
Saad, N.
Ali, A.
Vinoth Kumar, K.
Aman Sheikh, M.
Awais, M.
spellingShingle Irfan, M.
Saad, N.
Ali, A.
Vinoth Kumar, K.
Aman Sheikh, M.
Awais, M.
A Condition Monitoring System for the Analysis of Bearing Distributed Faults
author_sort Irfan, M.
title A Condition Monitoring System for the Analysis of Bearing Distributed Faults
title_short A Condition Monitoring System for the Analysis of Bearing Distributed Faults
title_full A Condition Monitoring System for the Analysis of Bearing Distributed Faults
title_fullStr A Condition Monitoring System for the Analysis of Bearing Distributed Faults
title_full_unstemmed A Condition Monitoring System for the Analysis of Bearing Distributed Faults
title_sort condition monitoring system for the analysis of bearing distributed faults
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080124647&doi=10.1109%2fUEMCON47517.2019.8993006&partnerID=40&md5=03e9d2d33e6d44d6575de8233ffca3aa
http://eprints.utp.edu.my/23674/
_version_ 1741196713460236288
score 11.62408

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