A method for condition monitoring and fault diagnosis in electromechanical system
文献类型：期刊论文
| 作者 | Guo QJ(郭前进); Yu HB(于海斌) ; Hu JT(胡静涛); Xu AD(徐皑冬)
|
| 刊名 | Neural Computing & Applications
 |
| 出版日期 | 2008 |
| 卷号 | 17期号:4页码:373-384 |
| 关键词 | Fault diagnosis Electrical machines Kernel independent component analysis Kernel trick Gaussian chirplet distributions Self-organizing map |
| ISSN号 | 0941-0643 |
| 产权排序 | 1 |
| 通讯作者 | 郭前进 |
| 中文摘要 | Condition monitoring of electrical machines has received considerable attention in recent years. Many monitoring techniques have been proposed for electrical machine fault detection and localization. In this paper, the feasibility of using a nonlinear feature extraction method noted as Kernel independent component analysis (KICA) is studied and it is applied in self-organizing map to classify the faults of induction motor. In nonlinear feature extraction, we employed independent component analysis (ICA) procedure and adopted the kernel trick to nonlinearly map the Gaussian chirplet distributions into a feature space. First, the adaptive Gaussian chirplet distributions are mapped into an implicit feature space by the kernel trick, and then ICA is performed to extract nonlinear independent components of the Gaussian chirplet distributions. A thorough laboratory study shows that the diagnostic methods provide accurate diagnosis, high sensitivity with respect to faults, and good diagnostic resolution. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | INDEPENDENT COMPONENT ANALYSIS ; SIGNAL ; MAPS ; ICA |
| 收录类别 | SCI ; CPCI（ISTP） |
| 语种 | 英语 |
| WOS记录号 | WOS:000257124100007 |
| 公开日期 | 2012-05-29 |
| 源URL | [http://ir.sia.cn/handle/173321/6898]  |
| 专题 | 沈阳自动化研究所_工业信息学研究室_工业控制系统研究室 |
| 推荐引用方式 GB/T 7714 | Guo QJ,Yu HB,Hu JT,et al. A method for condition monitoring and fault diagnosis in electromechanical system[J]. Neural Computing & Applications,2008,17(4):373-384. |
| APA | Guo QJ,Yu HB,Hu JT,&Xu AD.(2008).A method for condition monitoring and fault diagnosis in electromechanical system.Neural Computing & Applications,17(4),373-384. |
| MLA | Guo QJ,et al."A method for condition monitoring and fault diagnosis in electromechanical system".Neural Computing & Applications 17.4(2008):373-384. |
入库方式： OAI收割
来源：沈阳自动化研究所
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