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Artificial Intelligence Application in Power Generation Industry: Initial considerations

Artificial intelligence; Competition; Condition monitoring; Genetic algorithms; Iterative methods; Neural networks; Problem solving; Fault detection and diagnosis; Faults detection; Intelligent condition monitoring; Mitigation measures; Nonlinear iterations; Plant operations; Power generation indust...

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Main Authors: Ismail R.I.B., Ismail Alnaimi F.B., Al-Qrimli H.F.
Other Authors: 57189236796
Format: Conference Paper
Published: Institute of Physics Publishing 2023
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id my.uniten.dspace-22790
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spelling my.uniten.dspace-227902023-05-29T14:12:16Z Artificial Intelligence Application in Power Generation Industry: Initial considerations Ismail R.I.B. Ismail Alnaimi F.B. Al-Qrimli H.F. 57189236796 58027086700 30367473200 Artificial intelligence; Competition; Condition monitoring; Genetic algorithms; Iterative methods; Neural networks; Problem solving; Fault detection and diagnosis; Faults detection; Intelligent condition monitoring; Mitigation measures; Nonlinear iterations; Plant operations; Power generation industries; Problem-solving abilities; Fault detection; artificial intelligence; artificial neural network; competitiveness; genetic algorithm; industrial technology; monitoring system; power generation; power plant With increased competitiveness in power generation industries, more resources are directed in optimizing plant operation, including fault detection and diagnosis. One of the most powerful tools in faults detection and diagnosis is artificial intelligence (AI). Faults should be detected early so correct mitigation measures can be taken, whilst false alarms should be eschewed to avoid unnecessary interruption and downtime. For the last few decades there has been major interest towards intelligent condition monitoring system (ICMS) application in power plant especially with AI development particularly in artificial neural network (ANN). ANN is based on quite simple principles, but takes advantage of their mathematical nature, non-linear iteration to demonstrate powerful problem solving ability. With massive possibility and room for improvement in AI, the inspiration for researching them are apparent, and literally, hundreds of papers have been published, discussing the findings of hybrid AI for condition monitoring purposes. In this paper, the studies of ANN and genetic algorithm (GA) application will be presented. Final 2023-05-29T06:12:16Z 2023-05-29T06:12:16Z 2016 Conference Paper 10.1088/1755-1315/32/1/012007 2-s2.0-84966549032 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966549032&doi=10.1088%2f1755-1315%2f32%2f1%2f012007&partnerID=40&md5=7592f2a0c9f003f54635c55af8dd9c3d https://irepository.uniten.edu.my/handle/123456789/22790 32 1 12007 All Open Access, Bronze Institute of Physics Publishing Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Artificial intelligence; Competition; Condition monitoring; Genetic algorithms; Iterative methods; Neural networks; Problem solving; Fault detection and diagnosis; Faults detection; Intelligent condition monitoring; Mitigation measures; Nonlinear iterations; Plant operations; Power generation industries; Problem-solving abilities; Fault detection; artificial intelligence; artificial neural network; competitiveness; genetic algorithm; industrial technology; monitoring system; power generation; power plant
author2 57189236796
author_facet 57189236796
Ismail R.I.B.
Ismail Alnaimi F.B.
Al-Qrimli H.F.
format Conference Paper
author Ismail R.I.B.
Ismail Alnaimi F.B.
Al-Qrimli H.F.
spellingShingle Ismail R.I.B.
Ismail Alnaimi F.B.
Al-Qrimli H.F.
Artificial Intelligence Application in Power Generation Industry: Initial considerations
author_sort Ismail R.I.B.
title Artificial Intelligence Application in Power Generation Industry: Initial considerations
title_short Artificial Intelligence Application in Power Generation Industry: Initial considerations
title_full Artificial Intelligence Application in Power Generation Industry: Initial considerations
title_fullStr Artificial Intelligence Application in Power Generation Industry: Initial considerations
title_full_unstemmed Artificial Intelligence Application in Power Generation Industry: Initial considerations
title_sort artificial intelligence application in power generation industry: initial considerations
publisher Institute of Physics Publishing
publishDate 2023
_version_ 1806425699537387520
score 13.211869

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