电动阀门故障特征分析及检测方法研究

Research on fault feature analysis and detection method of electric valve

针对核电站电动阀门故障多发且故障类型多样的情况,通过分析电动阀门结构和动作原理,对电动阀门典型故障原因和故障信息表现形式进行了分析,研究了适用于电动阀门故障探测的信号探测方法,结合对获取的各类型信号的数据分析和处理,提出了电动阀门信号处理及特征量分析方法,通过提取电动阀门故障特征量,进一步表征阀门的故障状态。结合实际的阀门运行状态测试,表明提取的特征量能够反应电动阀门的真实故障,为电动阀门故障诊断和故障趋势分析奠定了技术基础。

Aiming at the frequent faults of electric valves in nuclear power plants and the various types of faults, analyzes the typical failure causes and fault information manifestations of electric valves by analyzing the structure and operation principle of electric valves, and studies the signal detection methods suitable for electric valve fault detection. Combining the data analysis and processing of various types of signals acquired, the electric valve signal processing and characteristic quantity analysis methods are proposed. By extracting the electric valve fault characteristic quantity, the fault state of the valve is further characterized. Combined with the actual valve operating state test, it is shown that the extracted characteristic quantities can reflect the true fault of the electric valve, which lays the technical foundation for the fault diagnosis and failure trend analysis of the electric valve.