基于故障树分析的机电液压设备智能化诊断策略研究

Research on Intelligent Diagnosis Strategy of Electromechanical and Hydraulic Equipment based on Fault Tree Analysis

机电液设备结构复杂、组件耦合性强,传统的故障诊断方法无法准确地实现故障定位和精细化分析,针对机电液设备的关键组件诊断,设定关键组件的故障诊断项,构建了机电液设备的智能化诊断拓扑结构,采用基于故障树分析方法的机电液设备故障诊断,利用模糊诊断算法实现设备的故障监测,通过搭建机电液设备的智能化故障诊断实验环境验证诊断策略的可靠性和准确性,实验结果表明设计的智能化诊断策略快速地提升机电液设备的诊断准确性和效率。

Due to the complex structure and strong component coupling of electromechanical and hydraulic equipment,the traditional fault diagnosis methods can not accurately realize fault location and fine analysis.For the key component diagnosis of electromechanical and hydraulic equipment,the fault diagnosis items of key components are set,the intelligent diagnosis topology of electromechanical and hydraulic equipment is constructed,and the fault diagnosis of electromechanical and hydraulic equipment based on fault tree analysis method is adopted,The fuzzy diagnosis algorithm is used to realize the fault monitoring of equipment.The reliability and accuracy of the diagnosis strategy are verified by building an intelligent fault diagnosis experimental environment for electromechanical and hydraulic equipment.The experimental results show that the designed intelligent diagnosis strategy can quickly improve the diagnosis accuracy and efficiency of electromechanical and hydraulic equipment.