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http://dx.doi.org/10.18770/KEPCO.2020.06.01.049

Diagnostics of Rotating Machinery using Recursive Bayesian Estimation  

Oh, Joon-Seok (KEPCO Research Institute, Korea Electric Power Corporation)
Sohn, Seok-Man (KEPCO Research Institute, Korea Electric Power Corporation)
Kim, Hee-Soo (KEPCO Research Institute, Korea Electric Power Corporation)
Lee, Seung-Cheol (POSTECH, Pohang University of Science and Technology)
Bae, Yong-Chae (KEPCO Research Institute, Korea Electric Power Corporation)
Publication Information
KEPCO Journal on Electric Power and Energy / v.6, no.1, 2020 , pp. 49-52 More about this Journal
Abstract
Since power plant is an important system to provide electricity, it is necessary to monitor it in order to operate safely. Much information related with machine diagnosis exists in written form instead of digital data. So, it causes difficulties of analyzing and finding solutions. Rulebased expert system can provide flexible and effective solutions to users. In this paper, Recursive Bayesian Estimation is applied in order to increase accuracy of solutions.
Keywords
Turbine; Vibration; Pump; Bayesian Estimation; Diagnostic;
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