[1]杨国安,许飞云,吴贞焕,等.基于小波包和解调分析的多类故障综合诊断方法研究[J].东南大学学报(自然科学版),2004,34(1):42-45.[doi:10.3969/j.issn.1001-0505.2004.01.010]
 Yang Guoan,Xu Feiyun,Wu Zhenhuan,et al.Research on the multi-fault comprehensive diagnosis method based on wavelet packet and demodulation[J].Journal of Southeast University (Natural Science Edition),2004,34(1):42-45.[doi:10.3969/j.issn.1001-0505.2004.01.010]
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基于小波包和解调分析的多类故障综合诊断方法研究()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
34
期数:
2004年第1期
页码:
42-45
栏目:
数学、物理学、力学
出版日期:
2004-01-20

文章信息/Info

Title:
Research on the multi-fault comprehensive diagnosis method based on wavelet packet and demodulation
作者:
杨国安1 许飞云2 吴贞焕3 高金吉1
1 北京化工大学设备诊断工程研究中心, 北京 100029; 2 东南大学机械工程系, 南京 210096; 3 北京化工大学信息科学与技术学院, 北京 100029
Author(s):
Yang Guoan1 Xu Feiyun2 Wu Zhenhuan3 Gao Jinji1
1 Plant Diagnosis Engineering Research Center, Beijing University of Chemical Technology, Beijing 100029, China
2 Department of Mechanical Engineering, Southeast University, Nanjing 210096, China
3 School of Inform
关键词:
小波包 解调 离心泵 故障诊断
Keywords:
wavelet packet demodulation centrifugal pump fault diagnosis
分类号:
TB52;TN911
DOI:
10.3969/j.issn.1001-0505.2004.01.010
摘要:
提出了一种基于小波包分解和解调分析相结合的旋转机械故障综合诊断方法.它能诊断复杂机械的多类故障,针对振动信号的非平稳和调制特点,首先采用小波包将信号进行分解,再分别以不同的方法分析不同的分解频段.利用解调技术分析小波包分解的高频段(调制频段),用来诊断轴承、齿轮等零部件的各类故障; 利用FFT频谱分析小波包分解的低频段,用来诊断转轴的各类故障.理论分析和仿真结果表明该方法优于仅做FFT频谱分析或Hilbert解调分析.实例分析也证明了该方法的实用性和有效性.
Abstract:
A comprehensive fault diagnosis method based on the wavelet packet decomposition and demodulation is proposed. The fault signals which are non-stationary and modulated are decomposed by the wavelet packet, then the fault features in different frequency bands are extracted respectively. The low-frequency bands are analyzed by FFT spectra, and the high frequency bands are demodulated by Hilbert transformation. This makes it possible to diagnose the different faults of machines. The shaft faults can be diagnosed in the low-frequency bands, and the bearing and gear faults can be diagnosed in high frequency bands(modulated frequency). By simulation and real example, the results show that the method proposed is superior to the FFT spectra or the Hilbert transform.

参考文献/References:

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[2] Nikolaou N G,Antoniadis I A.Demodulation of vibration signals generated by defects in rolling element bearings using complex shifted morlet wavelets [J].Mechanical Systems and Signal Processing,2002,16(4):677-694.
[3] Wang Wenyi.Early detection of gear tooth cracking using the resonance demodulation technique [J]. Mechanical Systems and Signal Processing, 2001,15(5):887-903.
[4] Cohen L.Time-frequency distribution — a review [J]. Proceedings of the IEEE,1987,77(7):941-978.
[5] Nikolaou N G,Antoniadis I A.Rolling element bearing fault diagnosis using wavelet packets [J].NDT & E International, 2002,35(3):197-205.
[6] 丁康,米林,王志杰.解调分析在故障诊断中应用的局限性问题[J].振动工程学报,1997,10(1):13-20.
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备注/Memo

备注/Memo:
作者简介: 杨国安(1963—),男,博士,副教授,yangga@mail.buct.edu.cn.
更新日期/Last Update: 2004-01-20