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Short-term and multi-state reliability model for an industrial gas turbine

This paper presents a short-term, multi-state reliability model for an industrial gas turbine. A new method is introduced to define the state boundaries. The transition intensities between any two states are determined from actual operation data and a Markov chain embedded in the operation data. The...

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Main Authors: Lemma, T.A., Hashim, F.M., Majid, M.A.B.A.
Format: Article
Published: Asian Research Publishing Network 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979205105&partnerID=40&md5=532caefb139b8672d4fe507cce3b078b
http://eprints.utp.edu.my/25499/
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spelling my.utp.eprints.254992021-08-27T13:03:08Z Short-term and multi-state reliability model for an industrial gas turbine Lemma, T.A. Hashim, F.M. Majid, M.A.B.A. This paper presents a short-term, multi-state reliability model for an industrial gas turbine. A new method is introduced to define the state boundaries. The transition intensities between any two states are determined from actual operation data and a Markov chain embedded in the operation data. The Chapman Kolomogorov equation corresponding to N-states is given. The equation can be applied to any gas turbine system. In the current paper, it is applied to a power plant having two identical 5.2 MW (nominal capacity at ISO condition) Siemens Taurus 60S gas turbines. The specific model included droop and isochronous modes of operation. The results show that the forced outage rates for the two gas turbines converge to 0.513 and 0.2661, respectively, when t��. Such a model will be applicable for short term planning of the operation of gas turbines hence contributing to a saving in life-cycle or maintenance cost. © 2006-2016 Asian Research Publishing Network (ARPN). Asian Research Publishing Network 2016 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979205105&partnerID=40&md5=532caefb139b8672d4fe507cce3b078b Lemma, T.A. and Hashim, F.M. and Majid, M.A.B.A. (2016) Short-term and multi-state reliability model for an industrial gas turbine. ARPN Journal of Engineering and Applied Sciences, 11 (14). pp. 8715-8720. http://eprints.utp.edu.my/25499/
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 This paper presents a short-term, multi-state reliability model for an industrial gas turbine. A new method is introduced to define the state boundaries. The transition intensities between any two states are determined from actual operation data and a Markov chain embedded in the operation data. The Chapman Kolomogorov equation corresponding to N-states is given. The equation can be applied to any gas turbine system. In the current paper, it is applied to a power plant having two identical 5.2 MW (nominal capacity at ISO condition) Siemens Taurus 60S gas turbines. The specific model included droop and isochronous modes of operation. The results show that the forced outage rates for the two gas turbines converge to 0.513 and 0.2661, respectively, when t��. Such a model will be applicable for short term planning of the operation of gas turbines hence contributing to a saving in life-cycle or maintenance cost. © 2006-2016 Asian Research Publishing Network (ARPN).
format Article
author Lemma, T.A.
Hashim, F.M.
Majid, M.A.B.A.
spellingShingle Lemma, T.A.
Hashim, F.M.
Majid, M.A.B.A.
Short-term and multi-state reliability model for an industrial gas turbine
author_facet Lemma, T.A.
Hashim, F.M.
Majid, M.A.B.A.
author_sort Lemma, T.A.
title Short-term and multi-state reliability model for an industrial gas turbine
title_short Short-term and multi-state reliability model for an industrial gas turbine
title_full Short-term and multi-state reliability model for an industrial gas turbine
title_fullStr Short-term and multi-state reliability model for an industrial gas turbine
title_full_unstemmed Short-term and multi-state reliability model for an industrial gas turbine
title_sort short-term and multi-state reliability model for an industrial gas turbine
publisher Asian Research Publishing Network
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979205105&partnerID=40&md5=532caefb139b8672d4fe507cce3b078b
http://eprints.utp.edu.my/25499/
_version_ 1738656738645639168
score 13.211869

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