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转子故障的连续小波尺度谱特征提取新方法
引用本文:陈果,邓堰.转子故障的连续小波尺度谱特征提取新方法[J].航空动力学报,2009,24(4):793-798.
作者姓名:陈果  邓堰
作者单位:南京航空航天大学,民航学院,南京210016
基金项目:国家自然科学基金(50705042);;航空科学基金(2007ZB52022)
摘    要:引入图像分析方法,提出了直接从转子故障信号连续小波尺度谱中提取图像纹理特征的新方法.首先,通过转子故障模拟实验台采集了不平衡、不对中、碰摩及油膜涡动等典型故障信号;然后,分析了故障信号尺度谱的差别及所提取出的数字特征对故障的敏感性;最后用结构自适应集成神经网络进行了智能诊断实验,结果表明了本文所提出的尺度谱数字特征对转子故障诊断的有效性.

关 键 词:continuous  wavelet  transform(CWT)  scalogram  feature  extraction  rotor  fault  diagnosis  image  analysis  
收稿时间:3/21/2008 5:12:51 PM
修稿时间:2008/5/21 0:00:00

New approach of features extraction for rotor faults from continuous wavelet transform scalogram
CHEN Guo and DENG Yan.New approach of features extraction for rotor faults from continuous wavelet transform scalogram[J].Journal of Aerospace Power,2009,24(4):793-798.
Authors:CHEN Guo and DENG Yan
Institution:College of Civil Aviation;Nanjing University of Aeronautics and Astronautics;Nanjing 210016;China
Abstract:By introducing the image analysis method,this paper proposed a new method of directly extracting the image text features from scalogram of continuous wavelet transform of rotor faults signals.Firstly,the rotor fault experimental rig was used to simulate unbalance,misalignment,rubbing and oil whirling faults,and faults samples were obtained;secondly,the scalograms of typical faults was analyzed,and the sensitivity of digital features of scalograms to faults was studied;finally,the integrated back propagation...
Keywords:Continuous Wavelet Transform (CWT)  Scalogram  Feature extraction  Rotor  Fault diagnosis  Image ana
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