Journal of Advanced Marine Engineering and Technology

The Korean Society of Marine Engineering (한국마린엔지니어링학회)
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Evaluation on performances of a real-time microscopic and telescopic monitoring system for diagnoses of vibratory bodies

  • Jeon, Min Gyu (Gas Solution Center, Korea Maritime and Ocean Univ.) ;
  • Doh, Deog Hee (Div. of Mech. and Energy Systems Eng., Korea Maritime and Ocean Univ.) ;
  • Kim, Ue Kan (Division of Mechanical and Energy Systems Eng., Korea Maritime and Ocean Univ.) ;
  • Kim, Kang Ki (Department of Offshore Plant Management, Korea Maritime and Ocean Univ.)
  • Received : 2014.11.27
  • Accepted : 2014.12.17
  • Published : 2014.12.31
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Abstract

In this study, the performance of a real-time micro telescopic monitoring system is evaluated, in which an artificial neural network is adopted for the diagnoses of vibratory bodies, such as solid piping system or machinery. The structural vibration was measured by a non-contact remote sensing method, in which images of a high-speed high-definition camera were used. The structural vibration data that can be obtained by the PIV (particle image velocimetry) technique were used for training the neural network. The structures of the neural network are dynamically changed and their performances are evaluated for the constructed diagnosis system. Optimized structures of the neural network are proposed for real-time diagnosis for the piping system. It was experimentally verified that the performances of the neural network used for real-time monitoring are influenced by the types of the vibration data, such as minimum, maximum and average values of the vibration data. It concludes that the time-mean values are most appropriate for monitoring the piping system.

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