Condition monitoring of induction motors via instantaneous power analysis

Condition monitoring is an important factor in assuring the well-being of motors. Existing approaches of condition monitoring require access to the motor for sensor installation. This paper reviews various forms of existing condition monitoring methods and highlights the need for an economical intel...

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Main Authors: Irfan, M., Saad, N., Ibrahim, R., Asirvadam, V.S.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.19410 /
Published: Springer New York LLC 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922621111&doi=10.1007%2fs10845-015-1048-2&partnerID=40&md5=4e5ce63e61e46bd706d8d4ab1c82b40a
http://eprints.utp.edu.my/19410/
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spelling utp-eprints.194102018-04-20T00:44:13Z Condition monitoring of induction motors via instantaneous power analysis Irfan, M. Saad, N. Ibrahim, R. Asirvadam, V.S. Condition monitoring is an important factor in assuring the well-being of motors. Existing approaches of condition monitoring require access to the motor for sensor installation. This paper reviews various forms of existing condition monitoring methods and highlights the need for an economical intelligent fault diagnosis system. In this study, the methodology taken in developing a condition monitoring system for motor bearing fault identification, utilizing the commonly available motor stator current and voltage is demonstrated. This unique diagnostic condition monitoring system provides continuous real time tracking of the various bearing defects and determines the fault severity which can be adopted for fast decision making. The study on different bearing faults under no-load and full-load conditions was carried out experimentally and then analyzed. The results on the real hardware implementation have confirmed the effectiveness of the proposed approach. © 2015, Springer Science+Business Media New York. Springer New York LLC 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922621111&doi=10.1007%2fs10845-015-1048-2&partnerID=40&md5=4e5ce63e61e46bd706d8d4ab1c82b40a Irfan, M. and Saad, N. and Ibrahim, R. and Asirvadam, V.S. (2017) Condition monitoring of induction motors via instantaneous power analysis. Journal of Intelligent Manufacturing, 28 (6). pp. 1259-1267. http://eprints.utp.edu.my/19410/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Condition monitoring is an important factor in assuring the well-being of motors. Existing approaches of condition monitoring require access to the motor for sensor installation. This paper reviews various forms of existing condition monitoring methods and highlights the need for an economical intelligent fault diagnosis system. In this study, the methodology taken in developing a condition monitoring system for motor bearing fault identification, utilizing the commonly available motor stator current and voltage is demonstrated. This unique diagnostic condition monitoring system provides continuous real time tracking of the various bearing defects and determines the fault severity which can be adopted for fast decision making. The study on different bearing faults under no-load and full-load conditions was carried out experimentally and then analyzed. The results on the real hardware implementation have confirmed the effectiveness of the proposed approach. © 2015, Springer Science+Business Media New York.
format Article
author Irfan, M.
Saad, N.
Ibrahim, R.
Asirvadam, V.S.
spellingShingle Irfan, M.
Saad, N.
Ibrahim, R.
Asirvadam, V.S.
Condition monitoring of induction motors via instantaneous power analysis
author_sort Irfan, M.
title Condition monitoring of induction motors via instantaneous power analysis
title_short Condition monitoring of induction motors via instantaneous power analysis
title_full Condition monitoring of induction motors via instantaneous power analysis
title_fullStr Condition monitoring of induction motors via instantaneous power analysis
title_full_unstemmed Condition monitoring of induction motors via instantaneous power analysis
title_sort condition monitoring of induction motors via instantaneous power analysis
publisher Springer New York LLC
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922621111&doi=10.1007%2fs10845-015-1048-2&partnerID=40&md5=4e5ce63e61e46bd706d8d4ab1c82b40a
http://eprints.utp.edu.my/19410/
_version_ 1741196202306699264
score 11.62408

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