Fault Diagnosis of Check Valve for Diaphragm Pump with Multi-time Domain Feature and SVM
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摘要: 针对隔膜泵单向阀故障机理分析不足的问题，提出了一种基于多时域特征与SVM的单向阀故障诊断方法。信号的时域特征是最早应用且最为简洁实用的特征参数，对单向阀的时域振动信号进行简要分析，并介绍几种信号时域指标与特征，根据单向阀振动信号的特点选取出三种时域指标与特征作为故障诊断的特征值；将特征值构成训练集输入到SVM分类器训练诊断模型；用测试样本进行故障诊断实验。实验证明，本文中提出的方法对高压隔膜泵单向阀的故障诊断准确率为98%，具有所需样本信号长度较短的优点。Abstract: Aiming at the insufficient analysis of the fault mechanism of the check (one-way) valve for the diaphragm pump, a new fault diagnosis method based on multi-time domain feature and SVM was proposed in this paper. The time domain feature of the signal is the earliest application and the most concise and practical feature parameter. Therefore, this paper briefly analyzes the time domain vibration signal of the one-way valve at first, and introduces several signal time domain indicators and characteristics, according to the characteristics of the one-way valve vibration signal. Three types of time domain indicators and features were selected as feature values for fault diagnosis. The training set of feature values was input into the SVM classifier training diagnosis model. The fault diagnosis experiment was performed with the test sample, and the experiment proved that the proposed method was applicable to high pressure diaphragm pumps. The fault diagnostic accuracy of the valve is 98%, and the method has the advantage of a shorter sample signal length.
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Key words:
- check valve /
- fault detection /
- fault feature /
- SVM
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表 1 信号采集器件型号
器件名称 型号 三缸曲轴活塞式隔膜泵 TZPM 振动加速度传感器 PCB-ICP 加速度校准器 PCB-394C06 高精度动态数据采集卡 PXIe-3342 控制器 PXI-3050EXT 2.7 Hz 工控机 PXI-9108EXT PXI机箱 
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表 2 部分样本的指标
样本类别 峭度值 近似熵值 裕度因子 0 11.993 4 0.784 2 27.055 9 0 9.703 0 0.726 6 26.595 4 0 5.877 3 0..943 8 20.611 4 0 6.824 7 0.886 5 19.510 0 0 4.537 5 0.953 9 14.634 0 0 12.097 5 0.870 1 29.605 4 0 6.327 9 0.808 4 16.017 0 0 7.096 1 0.953 1 20.078 8 0 8.299 3 0.760 7 22.247 4 0 6.286 2 0.954 6 27.657 5 1 2.607 5 1.197 9 3.054 9 1 4.995 0 0.980 4 7.247 6 1 2.756 8 1.200 6 3.848 2 1 6.395 1.020 2 7.260 0 1 4.039 1.195 3 4.149 6 1 6.229 0 0.957 6 7.247 2 1 3.550 6 1.072 9 5.044 9 1 4.180 5 1.121 6 7.338 2 1 3.436 4 1.174 8 3.794 5 1 2.547 4 1.190 7 2.390 8
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