Application of wavelet packet energy spectrum and sparse kernel principal component in fault detection

Computer Engineering and Applications ›› 2014, Vol. 50 ›› Issue (21): 224-229.

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Application of wavelet packet energy spectrum and sparse kernel principal component in fault detection

ZHU Dan1，2, FAN Yugang1，2, ZOU Jinhui1，2, WU Jiande1，2, HUANG Guoyong1，2

1.Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
2.Engineering Research Center for Mineral Pipeline Transportation, Kunming 650500, China

Online:2014-11-01 Published:2014-10-28

小波包能量谱-稀疏核主元在故障检测中的应用

朱丹1，2，范玉刚1，2，邹金慧1，2，吴建德1，2，黄国勇1，2

1.昆明理工大学信息工程与自动化学院，昆明 650500
2.云南省矿物管道输送工程技术研究中心，昆明 650500

Abstract

Abstract: For the problem of rolling bearing fault detection, a method of rolling bearing fault detection is proposed, which is based on wavelet packet energy spectrum and sparse kernel principal component. The vibration signal is decomposed by wavelet packet, in order to extract the energy spectrum of the signal. Then the sample base of energy spectrum is extracted through the method of incremental sample base. A kernel principal component model is built by the sample base for the analysis of the energy spectrum of the bearing vibration signal. The experimental simulation is presented to illustrate the effectiveness of the algorithm.

Key words: rolling bearing, wavelet packet, sparse kernel principal component, fault detection

摘要： 针对滚动轴承故障检测的问题，提出一种基于小波包能量谱-稀疏核主元的滚动轴承故障检测方法。对振动信号进行小波包分解，提取信号的能量频谱，用增量式样本基构造方法，提取能量频谱的样本基，以此样本基建立核主元模型，来分析轴承振动信号能量频谱的变化。通过实验仿真来说明此算法的有效性。

关键词: 滚动轴承, 小波包, 稀疏核主元, 故障检测

ZHU Dan1，2, FAN Yugang1，2, ZOU Jinhui1，2, WU Jiande1，2, HUANG Guoyong1，2. Application of wavelet packet energy spectrum and sparse kernel principal component in fault detection[J]. Computer Engineering and Applications, 2014, 50(21): 224-229.

朱丹1，2，范玉刚1，2，邹金慧1，2，吴建德1，2，黄国勇1，2. 小波包能量谱-稀疏核主元在故障检测中的应用[J]. 计算机工程与应用, 2014, 50(21): 224-229.

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Application of wavelet packet energy spectrum and sparse kernel principal component in fault detection

小波包能量谱-稀疏核主元在故障检测中的应用

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