Fault detection based on global-local PCA-SVDD for multimode processes
文献类型：会议论文
| 作者 | Shi HB(史海波); Wang ZW(王中伟); Zhou XF(周晓锋); Li S(李帅); Liang W(梁炜) ; Zhang YL(张吟龙)
|
| 出版日期 | 2017 |
| 会议名称 | 9th International Conference on Modelling, Identification and Control, ICMIC 2017 |
| 会议日期 | July 10-12, 2017 |
| 会议地点 | Kunming, China |
| 关键词 | fault detection monitoring multimode industrial processes mode division global-local PCA-SVDD |
| 页码 | 863-868 |
| 通讯作者 | Li S(李帅) |
| 中文摘要 | Fault detection is of importance for industrial processes with complex characteristics including multimode. In this paper, a fault detection method based on global-local PCA-SVDD is proposed for multimode industrial processes. Firstly, mode division based on spectral clustering is presented, which divides multimode processes into multiple modes without priori multimode information. Then, considering the multimode characteristic, global similarity and local non-similarity, the global-local PCA-SVDD models are built, which decomposes fault detection into a global model and multiple local models. Finally, different statistics and confidence limits are used for different models. The experiment results of the penicillin fermentation processes illustrate the feasibility and effectiveness of the proposed method for multimode industrial processes. |
| 收录类别 | EI |
| 产权排序 | 1 |
| 会议录 | Proceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-5090-6573-8 |
| 源URL | [http://ir.sia.cn/handle/173321/22422]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 通讯作者 | Liang W(梁炜) |
| 作者单位 | Shenyang Institute of Automation, Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang, China |
| 推荐引用方式 GB/T 7714 | Shi HB,Wang ZW,Zhou XF,et al. Fault detection based on global-local PCA-SVDD for multimode processes[C]. 见:9th International Conference on Modelling, Identification and Control, ICMIC 2017. Kunming, China. July 10-12, 2017. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。