한국정밀공학회지 (Journal of the Korean Society for Precision Engineering)

  • 제18권11호
  • /
  • Pages.124-131
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  • 2001
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  • 1225-9071(pISSN)
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  • 2287-8769(eISSN)
한국정밀공학회 (Korean Society for Precision Engineering)
권호 표지

인공신경회로망을 이용한 소형 모터의 조립 불량 판별 시스템 개발

Development of A Fault Diagnosis System for Assembled Small Motors Using ANN

  • 이상민 (창원대학교 제어계측공학과 대학원) ;
  • 조중선 (창원대학교 제어계측공학과)
  • 발행 : 2001.11.01
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초록

Fault diagnosis of an assembled small motor relies usually on human experts hearing ability. The quality of diagnosis depends, however, heavily on physical conditions of the human experts. A fault diagnosis system for assembled small motors is developed using artificial neural network (ANN) in this paper. It is consisted of sound sampling device and fault diagnosis software package. Six parameters are defined to characterize the sampled sound waves. The Levenberg-Marquardt Backpropagation (LMBP) Algorithm is used to diagnose the fault of assembled small motors. Experimental results for more than two hundred small motors verify the performance of the developed system.

키워드

참고문헌

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