Fault Diagnosis of Check Valve with EMD and Auxiliary Correlation Coefficient SVD
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摘要: 单向阀是往复式高压隔膜泵的关键部件，其故障振动信号常遭受强噪声污染，导致故障特征难以检测。针对这一问题，提出一种经验模态分解（EMD）辅助相关系数奇异值分解（SVD）的单向阀故障诊断方法。该方法首先将单向阀振动信号进行EMD分解，并将分解得到的本征模态函数（IMF）进行重构；然后将重构信号输入到相关系数SVD系统中进行二次分解，并用相关系数法筛选出包含故障特征信息的分量信号；最后对有效分量信号进行希尔伯特包络谱分析，实现单向阀故障诊断。仿真结果表明，提出方法解决了强噪声背景下故障特征提取困难的问题；实测数据表明，该方法能够有效检测出单向阀故障。Abstract: Check valve is a key component of the reciprocating high-pressure diaphragm pump. Regarding check valve fault vibration signal is often subjected to strong noise; it is difficult to detect the fault feature. A novel method to diagnosis the fault of check valve using empirical mode decomposition (EMD) and auxiliary correlation coefficient singular value decomposition (SVD) is proposed in this paper. Firstly, the check valve vibration signal is decomposed by empirical mode decomposition, then the intrinsic mode function (IMF) obtained by decomposition are used to reconstructed. Secondly, the reconstructed signal enters into the correlation coefficient SVD system for secondary decomposition and the component signals containing fault characteristic information are screened out by correlation coefficient method. Finally, the effective component signal is analyzed by Hilbert envelope spectrum analysis to diagnose the faulty of check valve. The simulation results show that the proposed method solved the problem of fault feature extraction under strong noise background, and the data measured indicates that the method can effectively detect the fault of the check valve.
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Key words:
- check valve /
- EMD /
- correlation coefficient /
- SVD /
- envelope spectrum /
- strong noise /
- fault diagnosis
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表 1 信号采集器件型号
器件名称 型号 三缸曲轴驱动活塞式隔膜泵 TZPM 振动加速度传感器 PCB-ICP 加速度校准器 PCB-394C06 高精度8通道动态数据采集卡 PXIe-3342 控制器 PXI-3050EXT 2.7HZ 工控机 PXI-9108EXT8槽PXI机箱 
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