计算机工程与应用Issue(21)：224-229,6.DOI:10.3778/j.issn.1002-8331.1301-0027
小波包能量谱-稀疏核主元在故障检测中的应用
Application of wavelet packet energy spectrum and sparse kernel prin-cipal component in fault detection
摘要
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.关键词
滚动轴承/小波包/稀疏核主元/故障检测Key words
rolling bearing/wavelet packet/sparse kernel principal component/fault detection分类
信息技术与安全科学引用本文复制引用
朱丹,范玉刚,邹金慧,吴建德,黄国勇..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,(21):224-229,6.基金项目
国家自然科学基金（No.51169007）；云南省科技计划项目（No.2010DH004，No.2011DA005，No.2012CA022）；云南省中青年学术和技术带头人后备人才培养计划项目（No.2011CI017）。 （）
