Transactions of the Korean Society for Noise and Vibration Engineering (한국소음진동공학회논문집)

The Korean Society for Noise and Vibration Engineering (한국소음진동공학회)
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Framework Development for Fault Prediction in Hot Rolling Mill System

열간 압연 설비의 고장 예지를 위한 프레임워크 구축

  • 손종덕 (두산중공업 풍력기술개발팀) ;
  • 양보석 (부경대학교 기계자동차공학과) ;
  • 박상혁 (포항산업과학연구원 신뢰성평가실)
  • Received : 2010.01.12
  • Accepted : 2011.01.28
  • Published : 2011.03.20
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Abstract

This paper proposes a framework to predict the mechanical fault of hot rolling mill system (HRMS). The optimum process of HRMS is usually identified by the rotating velocity of working roll. Therefore, observing the velocity of working roll is relevant to early know the HRMS condition. In this paper, we propose the framework which consists of two methods namely spectrum matrix which related to case-based fast Fourier transform(FFT) analysis, and three dimensional condition monitoring based on novel visualization. Validation of the proposed method has been conducted using vibration data acquired from HRMS by accelerometer sensors. The acquired data was also tested by developed software referred as hot rolling mill facility analysis module. The result is plausible and promising, and the developed software will be enhanced to be capable in prediction of remaining useful life of HRMS.

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References

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