Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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A Fault Detection and Isolation Method for Ammunition Transport Automation System

탄약운반 자동화 시스템의 고장 검출 및 분류 기법

  • 이승연 (충남대학교 전자공학과) ;
  • 강길순 (충남대학교 전자공학과) ;
  • 유준 (충남대학교 전자공학과)
  • Published : 2005.10.01
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Abstract

This paper presents a fault diagnosis(detection and isolation) approach for the Ammunition Transport Automation system(ATAS). Due to limited time and information available during its cyclic operation, the on-line fault detection algorithm consists of sequential test logics referring to the normal states, which can be considered as a kind of expert system. If a failure were detected, the off-line isolation algorithm finds the fault location through trained ART2 neural network. By the results of simulations and some on-line field test, it has been shown that the presented approach is effective enough and applicable to related automation systems.

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References

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