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基于EMD-AR和关联维数的轧机主传动系统故障诊断研究
引用本文:戴桂平.基于EMD-AR和关联维数的轧机主传动系统故障诊断研究[J].传感器与微系统,2011,30(4):60-62.
作者姓名:戴桂平
作者单位:苏州市职业大学,电子信息工程系,江苏,苏州,215104
摘    要:为提高轧机主传动系统故障诊断的精度,提出了一种基于EMD-AR模型和关联维数的故障特征提取算法.该方法采用小波滤波和EMD对振动信号进行去噪和平稳化预处理,再对包含主要故障信息的本征模函数(IMF)分别建立AR模型进行降维,最后通过时延相图法重构AR模型参数的相空间,并计算其关联维数.实验分析表明:该算法不仅能够深刻、...

关 键 词:实验模式分解  AR模型  关联维数  轧机主传动系统  故障诊断

Study on fault diagnosis of rolling mill main drive system based on EMD-AR and correlation dimension
DAI Gui-ping.Study on fault diagnosis of rolling mill main drive system based on EMD-AR and correlation dimension[J].Transducer and Microsystem Technology,2011,30(4):60-62.
Authors:DAI Gui-ping
Affiliation:DAI Gui-ping(Department of Electronic Information Engineering,Suzhou Vocational University,Suzhou 215104,China)
Abstract:In order to improve the fault diagnosis precision of rolling mill main drive system,a fault feature extraction algorithm based on EMD-AR model and correlation dimension is proposed.In the proposed wave-let and,EMD are used to decompose the vibration signal of complex machine into several intrinsic mode function(IMF),the AR models of some IMF components which contain main fault information are constructed.The correlation dimensions of auto-regressive parameters in AR models are calculated.Analysis results of...
Keywords:empirical mode decomposition(EMD)  AR model  correlation dimension number  rolling mill main drive system  fault diagnosis  
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