A hardware and software integration approach for development of a non-invasive condition monitoring systems for motor-coupled gears faults diagnosis

A non-invasive condition monitoring system for diagnosis of faults is vital for induction motors to operate safely and reliably. The currently used invasive techniques need direct access to the motor to collect and analyze data. Furthermore, the sensors used in invasive techniques are relatively exp...

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Main Authors: Irfan, M., Saad, N., Ibrahim, R., Asirvadam, V.S., Nor, N.M., Alwadie, A., Sheikh, M.A.
Format: Article
Published: Springer Verlag 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028974573&doi=10.1007%2f978-981-10-6463-0_55&partnerID=40&md5=e02ea662501b30a5f7e1653d0f8093d0
http://eprints.utp.edu.my/20320/
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spelling my.utp.eprints.203202018-04-23T01:04:18Z A hardware and software integration approach for development of a non-invasive condition monitoring systems for motor-coupled gears faults diagnosis Irfan, M. Saad, N. Ibrahim, R. Asirvadam, V.S. Nor, N.M. Alwadie, A. Sheikh, M.A. A non-invasive condition monitoring system for diagnosis of faults is vital for induction motors to operate safely and reliably. The currently used invasive techniques need direct access to the motor to collect and analyze data. Furthermore, the sensors used in invasive techniques are relatively expensive. This paper presents the development of hardware and software integrations for non-invasive diagnostic system to monitor specifically motor-coupled gear defects. The proposed system employs instantaneous power analysis, a unique technique for diagnostic condition monitoring which allows real-time non-stop tracking as well as assesses the severity of the defects. This technique can be adopted for decision-making that is not only fast but reliable. The severity of different gear defects have been studied experimentally, and the results were analyzed. The effectiveness of the proposed method has been verified through experimentation from the actual hardware implementation through the system-design platform and development environment software tool, LabVIEW. © Springer Nature Singapore Pte Ltd. 2017. Springer Verlag 2017 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028974573&doi=10.1007%2f978-981-10-6463-0_55&partnerID=40&md5=e02ea662501b30a5f7e1653d0f8093d0 Irfan, M. and Saad, N. and Ibrahim, R. and Asirvadam, V.S. and Nor, N.M. and Alwadie, A. and Sheikh, M.A. (2017) A hardware and software integration approach for development of a non-invasive condition monitoring systems for motor-coupled gears faults diagnosis. Communications in Computer and Information Science, 751 . pp. 642-655. http://eprints.utp.edu.my/20320/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description A non-invasive condition monitoring system for diagnosis of faults is vital for induction motors to operate safely and reliably. The currently used invasive techniques need direct access to the motor to collect and analyze data. Furthermore, the sensors used in invasive techniques are relatively expensive. This paper presents the development of hardware and software integrations for non-invasive diagnostic system to monitor specifically motor-coupled gear defects. The proposed system employs instantaneous power analysis, a unique technique for diagnostic condition monitoring which allows real-time non-stop tracking as well as assesses the severity of the defects. This technique can be adopted for decision-making that is not only fast but reliable. The severity of different gear defects have been studied experimentally, and the results were analyzed. The effectiveness of the proposed method has been verified through experimentation from the actual hardware implementation through the system-design platform and development environment software tool, LabVIEW. © Springer Nature Singapore Pte Ltd. 2017.
format Article
author Irfan, M.
Saad, N.
Ibrahim, R.
Asirvadam, V.S.
Nor, N.M.
Alwadie, A.
Sheikh, M.A.
spellingShingle Irfan, M.
Saad, N.
Ibrahim, R.
Asirvadam, V.S.
Nor, N.M.
Alwadie, A.
Sheikh, M.A.
A hardware and software integration approach for development of a non-invasive condition monitoring systems for motor-coupled gears faults diagnosis
author_facet Irfan, M.
Saad, N.
Ibrahim, R.
Asirvadam, V.S.
Nor, N.M.
Alwadie, A.
Sheikh, M.A.
author_sort Irfan, M.
title A hardware and software integration approach for development of a non-invasive condition monitoring systems for motor-coupled gears faults diagnosis
title_short A hardware and software integration approach for development of a non-invasive condition monitoring systems for motor-coupled gears faults diagnosis
title_full A hardware and software integration approach for development of a non-invasive condition monitoring systems for motor-coupled gears faults diagnosis
title_fullStr A hardware and software integration approach for development of a non-invasive condition monitoring systems for motor-coupled gears faults diagnosis
title_full_unstemmed A hardware and software integration approach for development of a non-invasive condition monitoring systems for motor-coupled gears faults diagnosis
title_sort hardware and software integration approach for development of a non-invasive condition monitoring systems for motor-coupled gears faults diagnosis
publisher Springer Verlag
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028974573&doi=10.1007%2f978-981-10-6463-0_55&partnerID=40&md5=e02ea662501b30a5f7e1653d0f8093d0
http://eprints.utp.edu.my/20320/
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