Fault Diagnosis of an Electric Tool using Automaton

거동 반응을 이용한 전동공구 고장진단

  • 이승목 (성균관대학교 기계공학과 대학원) ;
  • 최연선 (성균관대학교 기계공학부)
  • Published : 2006.05.01

Abstract

For fault diagnosis of machines and equipments, knowledge-based method has been used widely but has some limitations for complex systems. These can be covered by model-based method. As one kind of model-based method, Qualitative modeling diagnosis method is developed in this research. The developed method uses output signal only. In this method quantization of the output signal mattes automata which can characterize the flow of the signal pattern to normal and fault respectively. As an example of the qualitative diagnosis method, an electric tool which has faults at gear and bearing were examined in this research. The result shows that the developed method can diagnose the fault clearly for the two fault cases.

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