机械科学与技术2018，Vol.37Issue(4)：537-544,8.DOI:10.13433/j.cnki.1003-8728.2018.0408
自适应随机共振和DEMD的单向阀早期故障诊断
Early Fault Diagnosis of Check Valve with Adaptive Stochastic Resonance and DEMD
摘要
Abstract
In view of the low SNR (Signal Noise Ratio) of the early fault signals of the high pressure diaphragm pump check valve,it is difficult to extract the fault feature.In this paper,an early fault diagnosis method based on adaptive stochastic resonance and DEMD (Differential Empirical Mode Decomposition) is proposed.First of all,the original signal is processed,and the compression ratio is set for variable scale processing.Then,SNR is used as the adaptive degree function,and the PSO (Particle Swarm Optimization) algorithm is used to optimize the parameters of SR (Stochastic Resonance) system,the optimized parameters and the processed signals are input into the SR system.Finally,the signal output from the system is decomposed by DEMD algorithm;the components are analyzed by spectrum analysis,and the component synthesis with characteristic frequency is selected to carry out envelope analysis to extract the fault feature information.The results of simulation analysis and engineering experiment show the method can better extract the early fault feature information of the check valve.关键词
单向阀/随机共振/粒子群/DEMD/早期故障Key words
check valve/stochastic resonance/particle swarm optimization/differential empirical node decomposition/early fault feature分类
机械制造引用本文复制引用
牟竹青,冯早,黄国勇,范玉刚..自适应随机共振和DEMD的单向阀早期故障诊断[J].机械科学与技术,2018,37(4):537-544,8.基金项目
国家自然科学基金项目(61663017)与云南省科技计划项目(2015ZC005)资助 （61663017）
