Application of Fault Tree Analysis and Fuzzy Set Theory in Fault Diagnosis of Palletizer
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Abstract
Due to the lack of historical data,the probability of assembly failure cannot be obtained accurately when fault tree analysis(FTA) technique was used to analyze the reliability of palletizer.Therefore,a fault diagnosis method based on FTA and fuzzy set theory was proposed by incorporating experts' judgments and fuzzy set theory.The experts' subjective judgments were obtained on the basis of operators' experiences;then by fuzzy set theory to transform the experts' subjective expressions into the objective values of failure probability.The feasibility of the proposed method was verified by a case of diagnosing the fault of the main contactor module in a palletizer.The results showed that:the proposed method could effectively resolve the uncertainty problem of assembly failure probability caused by data deficiency and provide a support for the fault diagnosis and maintenance decision making for palletizers.
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