基于HHT的控制阀气密性故障诊断研究

以气动薄膜控制阀气室气密性故障为研究对象,首先对控制阀阀位动作信号进行希尔伯特-黄变换,通过经验模态分解方法检测故障的发生及发生时刻;其次分析了其各阶模态及其能量占比特性,获得了气动控制阀气室气密性故障类别和强度的在线诊断。通过模型仿真和实体阀实验验证了本文提出的检测及诊断方法的有效性和实用性。研究首次将希尔伯特黄变换信号分析方法引入到非周期、非平稳过程故障诊断中来,完整的实现了气动控制阀气室气密性故障的检测、诊断和强度识别。

Times New Research on fault diagnosis of air tightness of control valve based on HHT

Taking the pneumatic diaphragm control valve airtightness fault as the research object, the Hilbert-Huang transform of the control valve position action signal is first performed, and the occurrence and occurrence time of the fault are detected by the empirical mode decomposition method; The modalities and their energy proportions of various modes are used to obtain on-line diagnosis of the class and intensity of the airtightness of the pneumatic control valves. The simulation and solid valve experiments verify the validity and practicability of the detection and diagnosis methods proposed in this paper. For the first time, the Hilbert-Huang transform signal analysis method was introduced into the fault diagnosis of non-periodic and non-stationary processes, and the detection, diagnosis, and strength identification of the air-tightness faults in the pneumatic control valve chamber were completely realized.