Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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Development of A Fault Diagnosis System for Assembled Small Motors Using ANN

인공신경회로망을 이용한 소형 모터의 조립 불량 판별 시스템 개발

  • 이상민 (창원대학교 제어계측공학과 대학원) ;
  • 조중선 (창원대학교 제어계측공학과)
  • Published : 2001.11.01
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Abstract

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.

Keywords

References

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