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作 者:李文锋[1] 游庆和[1] 廖强[1] 须民健[1] LI Wen-feng;YOU Qing-he;LIAO Qiang;XU Min-fian(Chongqing Communications Technology Research & Design Institute,Chongqing 400067,China)
机构地区:[1]重庆交通科研设计院
出 处:《控制工程》2018年第9期1703-1708,共6页Control Engineering of China
基 金:国家山区公路工程技术研究中心研究项目(No.3Y020)
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.
关 键 词:远程故障诊断 T-S模糊故障树分析 故障自诊断 高压液压系统
分 类 号:TP273.4[自动化与计算机技术—检测技术与自动化装置]
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