基于模糊动态故障树的提升机盘式制动系统可靠性研究
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摘要
盘式制动系统是矿井提升机安全运行最重要的保障之一,故研究其系统可靠性具有重要的意义。由于提升机盘式制动系统是一个典型的冗余系统,系统故障存在模糊性、动态性和随机性,为提高矿井提升机盘式制动系统的安全可靠性和分析系统故障的因素,运用模糊动态故障树分析方法对矿井提升机盘式制动系统关键的失效模式进行可靠性研究。以盘式制动系统中的TE161型液压站系统作为可靠性研究对象,对盘式制动系统的工作原理、结构以及故障因素进行了分析,根据TE161型液压站系统结构组成的冗余性,构建了盘式制动系统液压站动态故障树模型,引入模糊数学理论,采用三角模糊数来描述动态故障树模型的基本事件的失效率,结合动态故障树分析方法对系统进行可靠性分析,对静态模块采用模糊静态算子求解事件的模糊故障概率,对动态模块采用基于模糊马尔可夫动态算子求解事件的模糊故障概率,综合静态子树和动态子树研究结果,并结合截集水平和扩张原理,得到系统运行104h时顶事件模糊故障概率,系统最可能故障的概率是0. 031,结合模糊概率重要度的求解原理,得到系统的基本事件的模糊概率重要度,并对基本事件模糊概率重要度排序分析,得到液压站的关键失效模式以及薄弱环节,为盘式制动系统系统进行故障预防、维护以及液压站设计提供借鉴。
The disc brake system is one of the most important guarantees for the safe operation of the mine hoist.Therefore,it is of great significance to study the reliability of the system.The disc brake system of hoist is a typical redundant system with fuzziness,dynamics and randomness in system failure.In order to improve the safety and reliability of disc brake system of mine hoist and analyze the factors of system failure,the key failure modes of disc brake system of mine hoist were studied by using the method of fuzzy dynamic fault tree analysis.Taking the TE161 hydraulic station system in the disc brake system as the research object of reliability,the working principle,structure and fault factors of the disc brake system were analyzed.According to the redundancy of the structural structure of the TE161 hydraulic station system,the dynamic fault tree model of the hydraulic system of the disc brake system was constructed.The fuzzy mathematics theory was introduced.The triangular fuzzy number was used to describe the failure rate of the basic event of the dynamic fault tree model.The reliability analysis of the system was carried out by combining the dynamic fault tree analysis method.For the static module,the fuzzy static operator was used to solve the fuzzy fault probability of the event.For the dynamic module,the fuzzy fault probability based on the fuzzy Markov dynamic operator was used to solve the event.Combining the static subtree and dynamic subtree research results.the intercept level,and the expansion principle,the probability of the top event fuzzy fault was obtained when the system was running for 104 h,and the probability of the most likely fault of the system was 0.031. Combined with the principle of solving the fuzzy probability importance,the fuzzy probability importance of the basic event of the system was obtained,and the fuzzy probability of the basic event was obtained. The importance ranking analysis gives the key failure modes of the hydraulic station. The weak link provides a reference for fault prevention,maintenance and hydraulic station design of the disc brake system.
The disc brake system is one of the most important guarantees for the safe operation of the mine hoist.Therefore,it is of great significance to study the reliability of the system.The disc brake system of hoist is a typical redundant system with fuzziness,dynamics and randomness in system failure.In order to improve the safety and reliability of disc brake system of mine hoist and analyze the factors of system failure,the key failure modes of disc brake system of mine hoist were studied by using the method of fuzzy dynamic fault tree analysis.Taking the TE161 hydraulic station system in the disc brake system as the research object of reliability,the working principle,structure and fault factors of the disc brake system were analyzed.According to the redundancy of the structural structure of the TE161 hydraulic station system,the dynamic fault tree model of the hydraulic system of the disc brake system was constructed.The fuzzy mathematics theory was introduced.The triangular fuzzy number was used to describe the failure rate of the basic event of the dynamic fault tree model.The reliability analysis of the system was carried out by combining the dynamic fault tree analysis method.For the static module,the fuzzy static operator was used to solve the fuzzy fault probability of the event.For the dynamic module,the fuzzy fault probability based on the fuzzy Markov dynamic operator was used to solve the event.Combining the static subtree and dynamic subtree research results.the intercept level,and the expansion principle,the probability of the top event fuzzy fault was obtained when the system was running for 104 h,and the probability of the most likely fault of the system was 0.031. Combined with the principle of solving the fuzzy probability importance,the fuzzy probability importance of the basic event of the system was obtained,and the fuzzy probability of the basic event was obtained. The importance ranking analysis gives the key failure modes of the hydraulic station. The weak link provides a reference for fault prevention,maintenance and hydraulic station design of the disc brake system.
引文
[1]雷勇涛.基于神经网络的提升机制动系统故障诊断技术与方法[D].太原:太原理工大学,2010.LEI Yongtao.Techniques and methods of fault diagnosis of hoist braking system based on neural network[D].Taiyuan:Taiyuan University of Technology,2010.
[2]黄家海,郭晓霞,权龙,等.软硬件冗余矿井提升机恒减速制动系统研制[J].中国机械工程,2016,27(4):475-478.HUANG Jiahai,GUO Xiaoxia,QUAN Long,et al. Development of mine hoist constant-deceleration emergency braking system with software and hardware redundant design[J].China Mechanical Engineering,2016,27(4):475-478.
[3]杨战社,马宪民.基于静态故障树的矿井提升机系统故障诊断研究[J].西安科技大学学报,2014,34(6):696-700.YANG Zhanshe,MA Xianmin. Mine hoist system fault diagnosis based on static fault tree[J].Journal of Xi’an University of Science and Technology,2014,34(6):696-700.
[4]姬莉莉.提升机制动性能安全评价方法与监测系统的研究[D].西安:西安科技大学,2014.JI Lili.Research on safety assessment method and monitoring system of hoist braking quality[D].Xi’an:Xi’an University of Science and Technology,2014.
[5] ZADEL L A.Fuzzy set as a basis for a theory of possibility[J].Fuzzy Sets and Systems,1978,1(1):3-28.
[6] TANAKA H,FAN L T,LAI F S,et al.Fault-tree analysis by fuzzy probability[J]. IEEE Transactions on Reliability,1983,32(5):453-457.
[7] SINGER D.A fuzzy set approach to fault tree and reliability analysis[J].Fuzzy Sets and Systems,1990,34(2):145-155.
[8] LI Yanfeng,HUANG Hongzhong,ZHU Shunpeng,et al.An application of fuzzy fault tree analysis to uncontained events of an aero-engine rotor[J]. International Journal of Turbo&Jet Engines,2012,29(4):309-315.
[9]黄洪钟,李彦锋,孙健,等.太阳翼驱动机构的模糊动态故障树分析[J].机械工程学报,2013,49(19):70-76.HUANG Hongzhong,LI Yanfeng,SUN Jian,et al. Fuzzy dynamic fault tree analysis for solar array drive assembly[J].Chinese Journal of Mechanical Engineering,2013,49(19):70-76.
[10]王晓明,李彦锋,李爱峰,等.模糊数据下基于连续时间贝叶斯网络的整流回馈系统可靠性建模与评估[J].机械工程学报,2015,51(14):167-174.WANG Xiaoming,LI Yanfeng,LI Aifeng,et al.Reliability modeling and evaluation for rectifier feedback system based on continuous time bayesian networks under fuzzy numbers[J].Chinese Journal of Mechanical Engineering,2015,51(14):167-174.
[11]杨玲.基于模糊动态故障树分析法的地铁隧道施工风险分析[D].石家庄:石家庄铁道大学,2016.YANG Ling. Risk analysis of metro tunnel construction based on fuzzy dynamic fault tree analysis method[D]. Shijiazhuang:Shijiazhuang Tiedao University,2016.
[12]高迎平,李洋,常文韬,等.基于模糊动态故障树的化工设备故障诊断方法研究[J].工业技术经济,2017,36(4):48-54.GAO Yingping,LI Yang,CHANG Wenjun,et al. Research on failure diagnosis method of chemical equipment based on fuzzy dynamic fault tree[J]. Industrial Technology&Economy,2017,36(4):48-54.
[13]李娟莉,杨兆建,庞新宇.面向知识工程的提升机智能故障诊断方法[J].煤炭学报,2016,41(5):1309-1315.LI Juanli,YANG Zhaojian,PANG Xinyu. Intelligent fault diagnosis method of mine hoist based on knowledge engineering[J].Journal of China Coal Society,2016,41(5):1309-1315.
[14]《矿井提升机故障处理和技术改造》编委会.矿井提升机故障处理和技术改造[M].北京:机械工业出版社,2013:129-192.
[15]孙健.太阳翼驱动机构动态故障树分析[D].成都:电子科技大学,2012.SUN Jian.Dynamic fault tree analysis for solar array drive assembly[D]. Chengdu:University of Electronic Science and Technology,2012.
[2]黄家海,郭晓霞,权龙,等.软硬件冗余矿井提升机恒减速制动系统研制[J].中国机械工程,2016,27(4):475-478.HUANG Jiahai,GUO Xiaoxia,QUAN Long,et al. Development of mine hoist constant-deceleration emergency braking system with software and hardware redundant design[J].China Mechanical Engineering,2016,27(4):475-478.
[3]杨战社,马宪民.基于静态故障树的矿井提升机系统故障诊断研究[J].西安科技大学学报,2014,34(6):696-700.YANG Zhanshe,MA Xianmin. Mine hoist system fault diagnosis based on static fault tree[J].Journal of Xi’an University of Science and Technology,2014,34(6):696-700.
[4]姬莉莉.提升机制动性能安全评价方法与监测系统的研究[D].西安:西安科技大学,2014.JI Lili.Research on safety assessment method and monitoring system of hoist braking quality[D].Xi’an:Xi’an University of Science and Technology,2014.
[5] ZADEL L A.Fuzzy set as a basis for a theory of possibility[J].Fuzzy Sets and Systems,1978,1(1):3-28.
[6] TANAKA H,FAN L T,LAI F S,et al.Fault-tree analysis by fuzzy probability[J]. IEEE Transactions on Reliability,1983,32(5):453-457.
[7] SINGER D.A fuzzy set approach to fault tree and reliability analysis[J].Fuzzy Sets and Systems,1990,34(2):145-155.
[8] LI Yanfeng,HUANG Hongzhong,ZHU Shunpeng,et al.An application of fuzzy fault tree analysis to uncontained events of an aero-engine rotor[J]. International Journal of Turbo&Jet Engines,2012,29(4):309-315.
[9]黄洪钟,李彦锋,孙健,等.太阳翼驱动机构的模糊动态故障树分析[J].机械工程学报,2013,49(19):70-76.HUANG Hongzhong,LI Yanfeng,SUN Jian,et al. Fuzzy dynamic fault tree analysis for solar array drive assembly[J].Chinese Journal of Mechanical Engineering,2013,49(19):70-76.
[10]王晓明,李彦锋,李爱峰,等.模糊数据下基于连续时间贝叶斯网络的整流回馈系统可靠性建模与评估[J].机械工程学报,2015,51(14):167-174.WANG Xiaoming,LI Yanfeng,LI Aifeng,et al.Reliability modeling and evaluation for rectifier feedback system based on continuous time bayesian networks under fuzzy numbers[J].Chinese Journal of Mechanical Engineering,2015,51(14):167-174.
[11]杨玲.基于模糊动态故障树分析法的地铁隧道施工风险分析[D].石家庄:石家庄铁道大学,2016.YANG Ling. Risk analysis of metro tunnel construction based on fuzzy dynamic fault tree analysis method[D]. Shijiazhuang:Shijiazhuang Tiedao University,2016.
[12]高迎平,李洋,常文韬,等.基于模糊动态故障树的化工设备故障诊断方法研究[J].工业技术经济,2017,36(4):48-54.GAO Yingping,LI Yang,CHANG Wenjun,et al. Research on failure diagnosis method of chemical equipment based on fuzzy dynamic fault tree[J]. Industrial Technology&Economy,2017,36(4):48-54.
[13]李娟莉,杨兆建,庞新宇.面向知识工程的提升机智能故障诊断方法[J].煤炭学报,2016,41(5):1309-1315.LI Juanli,YANG Zhaojian,PANG Xinyu. Intelligent fault diagnosis method of mine hoist based on knowledge engineering[J].Journal of China Coal Society,2016,41(5):1309-1315.
[14]《矿井提升机故障处理和技术改造》编委会.矿井提升机故障处理和技术改造[M].北京:机械工业出版社,2013:129-192.
[15]孙健.太阳翼驱动机构动态故障树分析[D].成都:电子科技大学,2012.SUN Jian.Dynamic fault tree analysis for solar array drive assembly[D]. Chengdu:University of Electronic Science and Technology,2012.
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