摘要
对单向阀早期微弱故障进行诊断可预防高压隔膜泵因单向阀磨损击穿无法正常工作而造成经济损失及安全事故。针对往复式高压隔膜泵单向阀早期微弱故障特征不明显且受大量噪声干扰的问题,提出基于复合多尺度波动散布熵(composite multiscale fluctuation dispersion entropy,CMFDE)的单向阀早期微弱故障诊断方法。首先,用正切S型替换CMFDE方法中的正态分布函数映射,提高CMFDE的抗噪性;其次,计算振动信号的复合多尺度波动散布熵值,构建特征矩阵,并将其输入支持向量机(support vector machine,SVM)分类器中进行故障诊断;最后,利用单向阀实际工程数据验证该方法的有效性,并进行对比实验。实验结果与对比分析表明,不需对单向阀原始信号进行降噪,简化了诊断过程。复合多尺度波动散布熵可精确反映单向阀不同信号特征,提高了单向阀早期微弱故障诊断的识别率,且故障诊断结果受分类器影响小,识别准确率达到96.667%。
The early weak fault diagnosis of check valve can prevent economic loss and safety accident caused by the failure of the high pressure diaphragm pump due to the wear and breakdown of check valve.Aiming at the problem that early weak fault feature of the check valve of the reciprocating high pressure diaphragm pump are not obvious and are disturbed by a lot of noise,Method:a method for early weak fault diagnosis of check valve based on composite multiscale fluctuation dispersion entropy(CMFDE)is proposed.First of all,replace the normal cumulative distribution function mapping in the CMFDE method with tangent sigmoid to improve the noise resistance of CMFDE.Then,calculate the composite multiscale fluctuation dispersion entropy of the vibration signal,and construct the feature matrix and input it into the support vector machine(SVM)classifier for fault diagnosis.Finally,the actual engineering data of the check valve is used to verify the effectiveness of the method,and a comparative experiment is carried out.The experimental results and comparative analysis show that it is not necessary to reduce the noise of the original signal of check valve,which simplifies the diagnosis process.The composite multiscale fluctuation dispersion entropy feature can accurately reflect the different signal characteristics of check valve,which improves the identification rate of the early weak fault diagnosis of check valve,and the fault diagnosis result is less affected by classifiers,with the identification accuracy reaching 96.667%.
作者
钱恩丽
黄国勇
李锶宇
何冬
Qian Enli;Huang Guoyong;Li Siyu;He Dong(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China;Faculty of Civil Aviation and Aeronautics,Kunming University of Science and Technology,Kunming 650500,China)
出处
《电子测量与仪器学报》
CSCD
北大核心
2021年第4期169-176,共8页
Journal of Electronic Measurement and Instrumentation
基金
国家自然科学基金(61663017)项目资助。
关键词
单向阀
早期微弱故障
复合多尺度波动散布熵
波动散布熵
故障诊断
check valve
early weak fault
composite multiscale fluctuation dispersion entropy
fluctuation dispersion entropy
fault diagnosis
作者简介
钱恩丽,2018年于潍坊学院获得学士学位,现为昆明理工大学硕士研究生,主要研究方向为信号处理故障诊断。E-mail:1229249851@qq.com;通信作者:黄国勇,2000年于江苏理工大学获学士学位,2003年于江苏大学获硕士学位,2007年于南京航空航天大学获博士学位,现为昆明理工大学教授,主要研究方向为智能控制,故障诊断。E-mail:42427566@qq.com。