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基于总变差降噪与RQA的单向阀故障诊断
引用本文:何冬,黄国勇,钱恩丽,李锶宇. 基于总变差降噪与RQA的单向阀故障诊断[J]. 电子测量与仪器学报, 2021, 35(2): 65-72
作者姓名:何冬  黄国勇  钱恩丽  李锶宇
作者单位:昆明理工大学信息工程与自动化学院 昆明650500;昆明理工大学信息工程与自动化学院 昆明650500;昆明理工大学民航与航空学院 昆明650500
基金项目:国家自然科学基金(61663017)项目资助
摘    要:针对单向阀振动信号易被噪声淹没和故障表征不明显的问题,提出了一种基于总变差降噪(TVD)和递归定量分析(RQA)的单向阀故障诊断方法.首先利用总变差降噪方法对振动信号进行降噪,提高信号的信噪比;然后对降噪后的信号绘制递归图,通过递归定量分析方法提取递归图中的非线性特征参数,并对所提取特征参数进行敏感度分析,找出敏感度较...

关 键 词:总变差降噪  递归定量分析  加权K近邻分类器  单向阀  故障诊断

Check valve fault diagnosis based on total variation de nosing and recurrence quantification analysis
He Dong,Huang Guoyong,Qian Enli,Li Siyu. Check valve fault diagnosis based on total variation de nosing and recurrence quantification analysis[J]. Journal of Electronic Measurement and Instrument, 2021, 35(2): 65-72
Authors:He Dong  Huang Guoyong  Qian Enli  Li Siyu
Abstract:Aiming at the problem that the vibration signal of the check valve is easily overwhelmed by noise and the fault characterization is not obvious. A fault diagnosis method for the check valve based on the total variation denoising and recurrence quantification analysis (TVD RQA) was proposed. Firstly, the total variation de noising method was used to de noise vibration signals and improve their signal to noise ratios; Then, draw a recurrence plot on the denoised signal, extract the nonlinear characteristic parameters in the recurrence plot through the recurrence quantification analysis method, and perform sensitivity analysis on the extracted feature parameters to find out the feature vectors with higher sensitivity; Finally, the obtained feature vector is input into the weighted K nearest neighbor classifier (WKNN) to complete the identification of the check valve failure type. Experimental results show that the method has obvious effects in reduce background noise, digging fault information, and ensuring the accuracy of fault diagnosis, and has certain engineering application value.
Keywords:total variation denoising   recurrence quantification analysis   weighted K nearest neighbor classifier   check valve   fault diagnosis
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