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적외선열화상을 이용한 베어링 실시간 손상검출 상태감시의 전산수치해석 비교

Comparison of FEA with Condition Monitoring for Real-Time Damage Detection of Bearing Using Infrared Thermography Techniques

  • 김호종 (전북대학교 공과대학 기계시스템공학부) ;
  • 김원태 (공주대학교 공과대학 기계자동차공학부)
  • 투고 : 2015.05.12
  • 심사 : 2015.06.17
  • 발행 : 2015.06.30

초록

동적하중에서의 베어링 결함에 대한 실시간 진단기술은 상대적으로 저조하다. 따라서 볼베어링의 이상상태 현상으로 인한 온도 상승 및 진동 증가 등을 사전에 검출하는 기술이 필요하며, 회전체에 대한 운전상태 감시 및 손상 진단을 통해 발전설비의 원활한 운전을 기할 수 있는 검출 기술이 필요하다. 적외선 열화상 실험과 더불어 ANSYS를 이용한 유한요소해석으로부터 실험과 동일한 베어링을 구조 설계 및 해석하여 데이터를 분석함으로써 열화상 기술로 얻은 데이터의 신뢰성을 확보하였다.

Since real-time monitoring systems, such as early fault detection, have been very important, an infrared thermography technique was proposed as a new diagnosis method. This study focused on damage detection and temperature characteristic analysis of ball bearings using the non-destructive, infrared thermography method. In this paper, for the reliability assessment, infrared experimental data were compared with finite element analysis (FEA) results from ANSYS. In this investigation, the temperature characteristics of ball bearing were analyzed under various loading conditions. Finally, it was confirmed that the infrared thermography technique was useful for the real-time detection of damage to bearings.

키워드

참고문헌

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