Identification of failure root causes using condition based monitoring data on a 33 kV switchgear

The implementation of condition based monitoring (CBM) involves variety of disciplines, such as failure analysis, on-line diagnostics, diagnostic data interpretation, management and communication, corrective actions and program maintenance. However, the most important tasks for a comprehensive CBM a...

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Main Authors: Bakar, Ab Halim Abu, Illias, Hazlee Azil, Othman, M.K., Mokhlis, Hazlie
Format: Article
Published: International Journal of Electrical Power & Energy Systems 2013
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Online Access:http://eprints.um.edu.my/7798/
http://ac.els-cdn.com/S0142061512006394/1-s2.0-S0142061512006394-main.pdf?_tid=e83a1048-a7d5-11e2-b4ab-00000aab0f6c&acdnat=1366254974_a39247da15cf65d165ff84a7370ac16f
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spelling my.um.eprints.77982019-12-06T08:38:17Z http://eprints.um.edu.my/7798/ Identification of failure root causes using condition based monitoring data on a 33 kV switchgear Bakar, Ab Halim Abu Illias, Hazlee Azil Othman, M.K. Mokhlis, Hazlie TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering The implementation of condition based monitoring (CBM) involves variety of disciplines, such as failure analysis, on-line diagnostics, diagnostic data interpretation, management and communication, corrective actions and program maintenance. However, the most important tasks for a comprehensive CBM analysis are to identify the actual root cause that contributes to equipment failure and the selection of appropriate mitigation techniques to address the root cause of the failure. In this paper, CBM actual site data of a 33 kV switchgear from an electrical utility company in Malaysia (from 2007 to 2010) were used to develop failure root causes database. The database was used to identify the possible root cause of a failure and to propose a failure mitigation plan for any CBM activity. The CBM data were obtained using ultrasound, thermoscanning and transient earth voltage (TEV) methods at different compartments of the switchgear, which yielded specific root causes of failure. In order to verify the effectiveness of the proposed method, the method was tested using actual site data obtained in 2011. Using the proposed method, the actual root cause of a failure can be identified quickly; hence the time and cost of repairs can be reduced. International Journal of Electrical Power & Energy Systems 2013 Article PeerReviewed Bakar, Ab Halim Abu and Illias, Hazlee Azil and Othman, M.K. and Mokhlis, Hazlie (2013) Identification of failure root causes using condition based monitoring data on a 33 kV switchgear. International Journal of Electrical Power & Energy Systems, 47. pp. 305-312. ISSN 0142-0615 http://ac.els-cdn.com/S0142061512006394/1-s2.0-S0142061512006394-main.pdf?_tid=e83a1048-a7d5-11e2-b4ab-00000aab0f6c&acdnat=1366254974_a39247da15cf65d165ff84a7370ac16f DOI 10.1016/j.ijepes.2012.11.007
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Bakar, Ab Halim Abu
Illias, Hazlee Azil
Othman, M.K.
Mokhlis, Hazlie
Identification of failure root causes using condition based monitoring data on a 33 kV switchgear
description The implementation of condition based monitoring (CBM) involves variety of disciplines, such as failure analysis, on-line diagnostics, diagnostic data interpretation, management and communication, corrective actions and program maintenance. However, the most important tasks for a comprehensive CBM analysis are to identify the actual root cause that contributes to equipment failure and the selection of appropriate mitigation techniques to address the root cause of the failure. In this paper, CBM actual site data of a 33 kV switchgear from an electrical utility company in Malaysia (from 2007 to 2010) were used to develop failure root causes database. The database was used to identify the possible root cause of a failure and to propose a failure mitigation plan for any CBM activity. The CBM data were obtained using ultrasound, thermoscanning and transient earth voltage (TEV) methods at different compartments of the switchgear, which yielded specific root causes of failure. In order to verify the effectiveness of the proposed method, the method was tested using actual site data obtained in 2011. Using the proposed method, the actual root cause of a failure can be identified quickly; hence the time and cost of repairs can be reduced.
format Article
author Bakar, Ab Halim Abu
Illias, Hazlee Azil
Othman, M.K.
Mokhlis, Hazlie
author_facet Bakar, Ab Halim Abu
Illias, Hazlee Azil
Othman, M.K.
Mokhlis, Hazlie
author_sort Bakar, Ab Halim Abu
title Identification of failure root causes using condition based monitoring data on a 33 kV switchgear
title_short Identification of failure root causes using condition based monitoring data on a 33 kV switchgear
title_full Identification of failure root causes using condition based monitoring data on a 33 kV switchgear
title_fullStr Identification of failure root causes using condition based monitoring data on a 33 kV switchgear
title_full_unstemmed Identification of failure root causes using condition based monitoring data on a 33 kV switchgear
title_sort identification of failure root causes using condition based monitoring data on a 33 kv switchgear
publisher International Journal of Electrical Power & Energy Systems
publishDate 2013
url http://eprints.um.edu.my/7798/
http://ac.els-cdn.com/S0142061512006394/1-s2.0-S0142061512006394-main.pdf?_tid=e83a1048-a7d5-11e2-b4ab-00000aab0f6c&acdnat=1366254974_a39247da15cf65d165ff84a7370ac16f
_version_ 1654960627019415552
score 13.211869