Tribology and Lubricants

Korean Tribology Society (한국트라이볼로지학회)
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Development of Diagnostic Expert System for Rotating Machinery with Journal Bearing-Research on the Diagnosis of the Nonlinear Characteristics of Rotor System

저어널 베어링으로 지지된 회전축의 이상상태 진단을 위한 진단 전문가 시스템의 개발-로타시스템의 비선형 특성 진단을 위한 연구

  • 유송민 (경희대학교 기계산업시스템 공학부, 산학협력기술연구원) ;
  • 김영진 (경희대학교 기계산업시스템 공학부, 산학협력기술연구원) ;
  • 박상신 (영남대학교 기계공학부)
  • Published : 2001.04.01
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Abstract

The development of techniques in diagnosing the state of the system is one of the essential tools in establishing the automation and unmanned manufacturing system for the realization of CIM/FMS in the fields. In this paper, we developed various diagnostic schemes for the journal bearing supported rotor system. Up to now, vibration of the shaft, measurement of the displacement and the temperature have been used for diagnostic tools, however, the statistical features only could not differentiate the state from states. Thus, we identified the sensor data f3r the steady state in the signal processing and then applied the fuzzy c-mean technology to cope with the nonlinear characteristics of the system. This will, in return, establish a possible diagnostic system for the rotor system in the fields.

Keywords

References

  1. IEEE Transactions on Systems, Man, and Cybernetics v.SMB-17 no.3 Strategies for Diagnosis Milne, R.
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  7. Fuzzy LOGIC WITH ENGINEERING APPLICATIONS Timothy, J. Ross
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Cited by

  1. 회전체동역학 분야 연구동향 vol.5, pp.1, 2001, https://doi.org/10.5293/kfma.2002.5.1.095