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 fuzzy logic application will be presented.
BY P. Naveen | S. Nikitha | P. Sudeesh | V. Vaishnavi "Artificial Intelligence in Power Station"
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019,
URL: https://www.ijtsrd.com/papers/ijtsrd29784.pdf
Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/29784/artificial-intelligence-in-power-station/p-naveen
manuscript submission, call for paper papers in journals, call for paper in ugc approved journals
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