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基于谐波小波包的旋转机械故障诊断新方法
引用本文:张建刚,秦红义,王冬云,陈爽,张文志.基于谐波小波包的旋转机械故障诊断新方法[J].测控技术,2012,31(5):55-59.
作者姓名:张建刚  秦红义  王冬云  陈爽  张文志
作者单位:1. 秦皇岛首钢板材有限公司,河北 秦皇岛,066003
2. 徐工研究院,江苏 徐州,221004
3. 秦皇岛职业技术学院,河北 秦皇岛 066100;燕山大学国家冷轧板带装备及工艺工程技术研究中心,河北秦皇岛066004
4. 河北科技师范学院数学与信息科技学院,河北 秦皇岛,066004
5. 燕山大学国家冷轧板带装备及工艺工程技术研究中心,河北秦皇岛,066004
基金项目:河北省科学技术研究与发展计划项目(11213909D);秦皇岛市科学技术研究与发展计划项目(201101A054)
摘    要:针对旋转机械的故障振动信号通常为复杂的动态非平稳信号,提出一种基于谐波小波包和Elman神经网络的故障诊断新方法。应用谐波小波包对信号进行分解,提取倍频能量特征向量,代入Elman神经网络,实现故障分类。通过试验分析及与BP网络的诊断结果对比,表明该方法在旋转机械的故障诊断方面具有显著优势。

关 键 词:谐波小波包  能量  Elman神经网络  旋转机械

New Method of Fault Diagnosis for Rotating Machinery Based on Harmonic Wavelet Packet
ZHANG Jian-gang , QIN Hong-yi , WANG Dong-yun , CHEN Shuang , ZHANG Wen-zhi.New Method of Fault Diagnosis for Rotating Machinery Based on Harmonic Wavelet Packet[J].Measurement & Control Technology,2012,31(5):55-59.
Authors:ZHANG Jian-gang  QIN Hong-yi  WANG Dong-yun  CHEN Shuang  ZHANG Wen-zhi
Affiliation:1.Qinhuangdao Shougang Plate Mill Co.,Ltd,Qinhuangdao 066003,China; 2.XCMG Research Institute,Xuzhou 221004,China;3.Qinhuangdao Institute of Technology,Qinhuangdao 066100,China; 4.Institute of Math and Information Technology,Hebei Normal University of Science and Technology,Qinhuangdao 066004,China; 5.National Engineering Research Center for Equipment and Technology of Cold Rolling Strip,Yanshan University, Qinhuangdao 066004,China)
Abstract:For fault vibration signal of rotating machinery is complicated dynamic nonstationary,a novel fault diagnosis method based on harmonic wavelet packet and Elman neural network is proposed.Fault signal is decomposed by harmonic wavelet packet and the characteristic vectors of energy are extracted.Then these vectors are input into Elman neural network to distinguish faults.The result of experiment and comparation to BP neural network show that this method has significant advantage in fault diagnosis of rotating machinery.
Keywords:harmonic wavelet packet  energy  Elman neural network  rotating machinery
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