Transactions of the Korean hydrogen and new energy society (한국수소및신에너지학회논문집)

The Korean Hydrogen and New Energy Society (한국수소및신에너지학회)
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Measurements of Remote Micro Displacements of the Piping System and a Real Time Diagnosis on Their Working States Using a PIV and a Neural Network

PIV와 신경망을 이용한 배관시스템 원격 미세변위 측정과 실시간 작동상태 진단

  • 전민규 (한국해양대학교 대학원) ;
  • 조경래 (한국해양대학교 기계에너지시스템공학부) ;
  • 오정수 (씨엠지테크윈) ;
  • 이창제 (한국해양대학교 대학원) ;
  • 도덕희 (한국해양대학교 기계에너지시스템공학부)
  • Received : 2013.06.14
  • Accepted : 2013.06.30
  • Published : 2013.06.30
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Abstract

Piping systems play an important role in gas and oil transferring system. In the piping system, there are many elements, such as valves and flow meters. In order to check their normal operating conditions, each signal from each element is displayed on the monitor in the pipe control room. By the way, there are several accidental cases in the piping system even if all signals from the local elements are judged to be normal on the monitor in the control room. Further, opposite cases often happen even the monitor shows abnormal while the local elements work normal. To overcome this abnormal functions, it is not so easy to construct the environment in which sensors detecting the working states of all elements installed in the piping system. In this paper, a new non-contact measurement technique which can calculate the elements' delicate displacements by using a PIV(particle image velocimetry) and diagnose their working states by using a neural network is proposed. The measurement system consists of a host computer, a micro system, a telescope and a high-resolution camera. As a preliminary test, the constructed measurement system was applied to measure delicate vibrations of mobile phones. For practical application, a pneumatic system was measured by the constructed system.

Keywords

References

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  2. A Monitoring System Based on an Artificial Neural Network for Real-Time Diagnosis on Operating Status of Piping System vol.39, pp.2, 2015, https://doi.org/10.3795/KSME-B.2015.39.2.199