KEPCO Journal on Electric Power and Energy

Korea Electric Power Corporation (한국전력공사)
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Diagnostics of Rotating Machinery using Recursive Bayesian Estimation

재귀 베이시안 추정을 이용한 회전기기 진단

  • 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)
  • Received : 2019.08.12
  • Accepted : 2020.02.04
  • Published : 2020.03.30
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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.

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References

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