故障树分析法和模糊集理论在堆垛机故障诊断中的应用  

Application of Fault Tree Analysis and Fuzzy Set Theory in Fault Diagnosis of Palletizer

作　　者：廖伦彪 杨丰[2] 张宝[1] 杨涛[2] 吕婷[2] 

机构地区：[1]四川烟草工业有限责任公司绵阳分厂 [2]西南科技大学信息工程学院

出　　处：《烟草科技》2014年第7期17-20,共4页Tobacco Science & Technology

基　　金：川渝中烟四川烟草工业有限责任公司科技项目"烟草物流系统设备维护管理及故障诊断系统"(川渝烟工技研[2013]165号)

摘　　要：利用故障树分析(Fault Tree Analysis)技术对堆垛机进行可靠性分析时,因缺乏数据而无法准确获得部件失效概率。为此,结合专家的语言判断和模糊集理论(Fuzzy Set Theory),提出了一种基于故障树分析技术和模糊集理论的堆垛机故障诊断方法。该方法根据堆垛机操作人员的经验,获取专家在堆垛机部件失效概率上的主观评判;采用模糊集理论将专家的主观语言表述模糊化处理,转化成客观的失效可能性数值;结合堆垛机主接触器模块故障诊断实例,验证了该方法的可行性。结果表明:该方法可以有效解决因数据缺乏导致部件失效概率不确定问题,为堆垛机的故障诊断和维护决策提供了帮助。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.

关 键 词：故障树分析 堆垛机 专家语言 模糊集 失效概率 故障诊断 

分 类 号：TB114[理学—概率论与数理统计]