设计研究 Design&Research
基于MHITD与MFE的往复压缩机故障特征提取方法
郭岱宗1，杨明，李玉倩，吕妍2
（1.东北石油大学机械科学与工程学院，黑龙江大庆163318；2.大庆石化公司，黑龙江大庆163318）
[摘要]：针对往复压缩机振动信号的非平稳和非线性特性，提出一种基于改进ITD(MHITD)方法与多尺度模棚满(MFE)的往复压缩机轴承故障特征提取方法。MHITD方法解决了ITD方法分量波形失真的问题，其采用单调三次Hermite插值代替了 ITD方法中的线性变换。利用MHITD方法将故障振动信号分解为一系列旋转分量之和，根据相关性系数筛选包含故障主要信息的分量。利用多尺度模棚摘对各分量进行定量描述，并以类间平均欧民距离对尺度因子进行优选，得出可分性良好的特征向量。通过该方法提取往复压缩机故障轴承间腺故障的特征向量，与ITD和样本炳方法进行对比分析，验证了该方法的有效性。
[关键词]：ITD；Hemite插值；MFE；往复压缩机；特征提取
中图分类号：TH457文献标志码：A 文章编号：1006-2971(2016)05-0016-05
A Fault Feature ExtractionMethodBased on MHITD andMFEforReciprocating Com-pressor
GUO Daizong', YANC Ming', LI Yuqian', LYU Yan?
(1. School of Mechanical Science & Engineering, Northeast Petroleum University, Daqing 163318, China; 2. Daqing Petrochemical Company, Daqing 163318, China)
Abstract:Aiming at the nonstationary and nonlinearity characteristics of reciprocating compressor vibration signal, a feature extrac-tion method for bearing fault of reciprocating compressor based on Monotone Hermite interpolation Intrinsic timescale decomposition(MHITD)and Multiscale fuzzy entropy (MFE)is proposed. MHITD method used monotone hermite interpolation to replace linear transformation of the ITD method, which solved the problem of the component waveform distortion. Vibration signals in each state are decomposed into a series of PR components with MHITD method, and the PR components which contain the main information of fault state are chosen according to relative coefficient. MFE of the selected PR components was calculated, and the optimized scale factor was selected based on the maximum of average distances between different states, so the eigenvectors which have the best divisibility were extracted. Bearing clearance faults of reciprocating compressor were diagnosed by this method accurately and the superiority of
this method is verified by comparing the eigenvectors extracted by ITD and sample entropy method. Key words: ITD; Hermite interpolation; MFE; reciprocating compressor; feature extraction
1引信
往复压缩机是石油化工领域中广泛使用的核心设备，其一且发生故障，将会给企业造成重大损失，因此，对其进行故障诊断具有十分重要的
收稿日期：201607-12
压摄机技术
16Compresoe
现实意义。振动信号特征提取是设备故障诊断一种常用手段，但是往复压缩机振动信号具有非线性、强非平稳性，采用经典的时频分析方法很难对故障特征进行准确提取！。
继承EMD与LMD方法之后，Frei提出的一种新兴自适应时频分析方法一固有时间尺度分解方
2016年05期（总第259期）