Joint time-frequency and kernel principal component based som for machine maintenance
文献类型：期刊论文
| 作者 | Guo, Qianjin; Yu, Haibin; Nie, Yiyong; Xu, Aidong |
| 刊名 | Advances in neural networks - isnn 2006, pt 3, proceedings
 |
| 出版日期 | 2006 |
| 卷号 | 3973页码:1144-1154 |
| ISSN号 | 0302-9743 |
| 通讯作者 | Guo, qianjin(guoqianjin@sia.cn) |
| 英文摘要 | Conventional vibration signals processing techniques are most suitable for stationary processes. however, most mechanical faults in machinery reveal themselves through transient events in vibration signals. that is, the vibration generated by industrial machines always contains nonlinear and nonstationary signals. it is expected that a desired time-frequency analysis method should have good computation efficiency, and have good resolution in both time domain and frequency domain. in this paper, the auto-regressive model based pseudo-wigner-ville distribution for an integrated time-frequency signature extraction of the machine vibration is designed, the method offers the advantage of good localization of the vibration signal energy in the time-frequency domain. kernel principal component analysis (kpca) is used for the redundancy reduction and feature extraction in the time-frequency domain, and the self-organizing map (som) was employed to identify the faults of the rotating machinery. experimental results show that the proposed method is very effective. |
| WOS关键词 | SIGNALS ; FAULT ; MAPS |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods |
| 语种 | 英语 |
| WOS记录号 | WOS:000239485300167 |
| 出版者 | SPRINGER-VERLAG BERLIN |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2379170 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Guo, Qianjin |
| 作者单位 | 1.Chinese Acad Sci, Shenyang Inst Automat, Liaoning 110016, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China |
| 推荐引用方式 GB/T 7714 | Guo, Qianjin,Yu, Haibin,Nie, Yiyong,et al. Joint time-frequency and kernel principal component based som for machine maintenance[J]. Advances in neural networks - isnn 2006, pt 3, proceedings,2006,3973:1144-1154. |
| APA | Guo, Qianjin,Yu, Haibin,Nie, Yiyong,&Xu, Aidong.(2006).Joint time-frequency and kernel principal component based som for machine maintenance.Advances in neural networks - isnn 2006, pt 3, proceedings,3973,1144-1154. |
| MLA | Guo, Qianjin,et al."Joint time-frequency and kernel principal component based som for machine maintenance".Advances in neural networks - isnn 2006, pt 3, proceedings 3973(2006):1144-1154. |
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来源：中国科学院大学
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