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Analysis of the impact of degradation on gas turbine performance using the support vector machine (svm) method

Degradation is an important aspect in the operation and maintenance of gas turbines since it affects maintenance costs substantially. Hence, the study of degradation in terms of recoverable and non-recoverable degradation is crucial to formulate a correct maintenance strategy and, as a result, achie...

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Main Authors: Asnawi, K.F.B.A., Lemma, T.A.
Format: Article
Published: Springer 2020
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087023146&doi=10.1007%2f978-981-15-4756-0_38&partnerID=40&md5=e6739eaf8ade742d4078799f15cc8628
http://eprints.utp.edu.my/24734/
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spelling my.utp.eprints.247342021-08-27T05:51:09Z Analysis of the impact of degradation on gas turbine performance using the support vector machine (svm) method Asnawi, K.F.B.A. Lemma, T.A. Degradation is an important aspect in the operation and maintenance of gas turbines since it affects maintenance costs substantially. Hence, the study of degradation in terms of recoverable and non-recoverable degradation is crucial to formulate a correct maintenance strategy and, as a result, achieve optimum maintenance cost. In this paper, the impact of recoverable and non-recoverable degradation towards compressor discharge pressure, fuel gas flow, and exhaust gas temperature are measured during the start of run period that reflects the time period from the new gas turbine condition to the first scheduled offline crank wash, which normally approximates to 8000 running hours. For the study, a three-unit single speed light industrial gas turbine that drives an electrical generator to power up an offshore platform located in a tropical climate is considered. The measurement of the parameters has been conducted using the support vector machine (SVM) method. © Springer Nature Singapore Pte Ltd 2020. Springer 2020 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087023146&doi=10.1007%2f978-981-15-4756-0_38&partnerID=40&md5=e6739eaf8ade742d4078799f15cc8628 Asnawi, K.F.B.A. and Lemma, T.A. (2020) Analysis of the impact of degradation on gas turbine performance using the support vector machine (svm) method. Lecture Notes in Mechanical Engineering . pp. 441-451. http://eprints.utp.edu.my/24734/
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 Degradation is an important aspect in the operation and maintenance of gas turbines since it affects maintenance costs substantially. Hence, the study of degradation in terms of recoverable and non-recoverable degradation is crucial to formulate a correct maintenance strategy and, as a result, achieve optimum maintenance cost. In this paper, the impact of recoverable and non-recoverable degradation towards compressor discharge pressure, fuel gas flow, and exhaust gas temperature are measured during the start of run period that reflects the time period from the new gas turbine condition to the first scheduled offline crank wash, which normally approximates to 8000 running hours. For the study, a three-unit single speed light industrial gas turbine that drives an electrical generator to power up an offshore platform located in a tropical climate is considered. The measurement of the parameters has been conducted using the support vector machine (SVM) method. © Springer Nature Singapore Pte Ltd 2020.
format Article
author Asnawi, K.F.B.A.
Lemma, T.A.
spellingShingle Asnawi, K.F.B.A.
Lemma, T.A.
Analysis of the impact of degradation on gas turbine performance using the support vector machine (svm) method
author_facet Asnawi, K.F.B.A.
Lemma, T.A.
author_sort Asnawi, K.F.B.A.
title Analysis of the impact of degradation on gas turbine performance using the support vector machine (svm) method
title_short Analysis of the impact of degradation on gas turbine performance using the support vector machine (svm) method
title_full Analysis of the impact of degradation on gas turbine performance using the support vector machine (svm) method
title_fullStr Analysis of the impact of degradation on gas turbine performance using the support vector machine (svm) method
title_full_unstemmed Analysis of the impact of degradation on gas turbine performance using the support vector machine (svm) method
title_sort analysis of the impact of degradation on gas turbine performance using the support vector machine (svm) method
publisher Springer
publishDate 2020
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087023146&doi=10.1007%2f978-981-15-4756-0_38&partnerID=40&md5=e6739eaf8ade742d4078799f15cc8628
http://eprints.utp.edu.my/24734/
_version_ 1738656631957225472
score 13.160551

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