基于T-S模糊FTA的远程故障诊断方法研究
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摘要
针对用于道路施工的某装备存在的故障人工处理难度大、成本高等问题,提出了采用T-S模糊故障树方法并基于GPRS网络的远程故障诊断系统及方法。以该装备高压液压伺服系统为例,给出了归类映射规则以识别故障现象,建立了该系统的T-S模糊故障树模型,并通过T-S模糊门算法计算确定了各故障下各部件的T-S关键重要度及故障排查顺序,并结合部件故障自诊断程序,实现了部件的故障自动排查与搜索。该方法提高了工程用高压液压系统故障诊断的准确性与工程用装备的远程故障诊断的可行性。
Aiming at overcoming the problem of high cost, difficult manual processing for a fault of an equipment applied in road construction, the remote fault diagnosis and treatment system is developed based on T-S fuzzy FTA(Fault Tree Analysis) method and GPRS network. This paper takes the high-pressure hydraulic servo system as an example for analysis. Firstly, the fault phenomenon is identified by mapping rules, and the T-S fuzzy FTA model of the system is established. Then, the T-S importance of each component and fault checking sequence are calculated using the T-S fuzzy gate rule. Finally, the automatic fault searching and checking is realized by self-diagnosis program. The example analysis results show that, the method improves the accuracy of fault diagnosis for the high pressure hydraulic system, and increases the feasibility of remote fault diagnosis on engineering equipment.
Aiming at overcoming the problem of high cost, difficult manual processing for a fault of an equipment applied in road construction, the remote fault diagnosis and treatment system is developed based on T-S fuzzy FTA(Fault Tree Analysis) method and GPRS network. This paper takes the high-pressure hydraulic servo system as an example for analysis. Firstly, the fault phenomenon is identified by mapping rules, and the T-S fuzzy FTA model of the system is established. Then, the T-S importance of each component and fault checking sequence are calculated using the T-S fuzzy gate rule. Finally, the automatic fault searching and checking is realized by self-diagnosis program. The example analysis results show that, the method improves the accuracy of fault diagnosis for the high pressure hydraulic system, and increases the feasibility of remote fault diagnosis on engineering equipment.
引文
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[15]刘永健,胡培金.液压故障诊断分析[M].北京:人民交通出版社,1998.Liu Y J,Hu P J.Analysis of hydraulic fault diagnosis[M].Beijing:China Communications Press,1998.
[2]Schneeman R D,Lee K B.Distributed measurement and control based on the IEEE1451 smart transducer interface standards.IEEETrans.on Instrumentation and Measurement,2000,3(49):621-627.
[3]Hui S C,Fong A C M,Jha G.A web-based intelligent fault diagnosis system for customer service support[J].Engineering Applications of Artificial Intelligence,2001,14(4):537-548.
[4]张国辉.可重构远程诊断系统理论与技术研究[D].武汉:华中科技大学,2005.Zhang G H.Research on the theories and technologies of reconfigurable remote fault diagnosis system[D].Wuhan:Huazhong University of Science and Technology,2005.
[5]万剑.基于GPRS的远程状态监测技术研究[D].天津:天津大学,2011.Wan J.Research on GPRS based remote state monitoring technology[D].Tianjin:Tianjin University,2011.
[6]Batzias A,Batzias F.Fuzzy fault tree analysis as a mechanism for technical support to small/medium electroplaters on a quasi online/real-time basis[C].IEEE ICIT 2003,Industrial Technology:36-41.
[7]宗群,李光宇,郭萌.基于故障树的电梯故障诊断专家系统设计[J].控制工程,2013,20(2):305-308.Zong Q,Li G Y,Guo M.Design of diagnostic expert system for elevator system based on FTA[J].Control Engineering of China,2013,20(2):305-308.
[8]尹晓伟,钱文学,谢里阳.基于贝叶斯网络的多状态系统可靠性建模与评估[J].机械工程学报,2009,45(2):206-212.Yin X W,Qian W X,Xie L Y.Multi-state system reliability modeling and assessment based on bayesian networks[J].Journal of Mechanical Engineering,2009,45(2):206-212.
[9]宋华,张洪钺,王行仁.T-S模糊故障树分析方法[J].控制与决策,2005,20(8):854-859.Song H,Zhang H Y,Wang X R.Fuzzy fault tree analysis based on T-S model[J].Control and Decision,2005,20(8):854-859.
[10]姚成玉,赵静一.液压系统模糊故障树分析方法研究[J].中国机械工程,2007,18(14):1656-1659,1675.Yao C Y,Zhao J Y.Research on fuzzy fault tree analysis method of hydraulic system[J].China Mechanical Engineering,2007,18(14):1656-1659,1675.
[11]刘世元,杜润生,杨叔子.利用模糊模式识别诊断内燃机失火故障的研究[J].振动工程学报,2000,13(1):37-45.Liu S Y,Du R S,Yang S Z.Misfire diagnosis for internal combustion engines using fuzzy pattern recognition[J].Journal of Vibration Engineering,2000,13(1):37-45.
[12]王永传,郁文贤,庄钊文.一种故障树模糊重要度分析的新方法[J].国防科学技术大学学报,1999,21(3):63-66.Wang Y C,Yu W X,Zhuang Z W.A New method of the importance analysis of FTA[J].Journal of National University of Defense Technology,1999,21(3):63-66.
[13]姚成玉,党振,陈东宁,等.基于T-S模糊故障树分析的液压系统故障搜索策略[J].燕山大学学报,2011,35(5):407-412.Yao C Y,Dang Z,Chen D N,et al.Fault search strategy of hydraulic system based on T-S fuzzy fault tree analysis[J].Journal of Yanshan University,2011,35(5):407-412.
[14]梁锋.高压共轨式电控柴油机故障自诊断系统研究[D].上海:上海交通大学,2004.Liang F.The development and research of On-board diagnostics system for common rail DI diesel engine[D].Shanghai:Shanghai Jiaotong University,2004.
[15]刘永健,胡培金.液压故障诊断分析[M].北京:人民交通出版社,1998.Liu Y J,Hu P J.Analysis of hydraulic fault diagnosis[M].Beijing:China Communications Press,1998.