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Adaptive Fault Detection for Complex Dynamic Processes Based on JIT Updated Data Set
文献类型：期刊论文
| 作者 | Li JN(李金娜); Li Y(李元); Yu HB(于海斌) ; Xie YH(谢彦红); Zhang C(张成)
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| 刊名 | JOURNAL OF APPLIED MATHEMATICS
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| 出版日期 | 2012 |
| 页码 | 17 pp. |
| 关键词 | PRINCIPAL COMPONENT ANALYSIS OBSERVER SYSTEMS DIAGNOSIS FUZZY IDENTIFICATION PCA |
| ISSN号 | 1110-757X |
| 产权排序 | 1 |
| 通讯作者 | 李金娜 |
| 中文摘要 | A novel fault detection technique is proposed to explicitly account for the nonlinear, dynamic, and multimodal problems existed in the practical and complex dynamic processes. Just-in-time (JIT) detection method and k-nearest neighbor (KNN) rule-based statistical process control (SPC) approach are integrated to construct a flexible and adaptive detection scheme for the control process with nonlinear, dynamic, and multimodal cases. Mahalanobis distance, representing the correlation among samples, is used to simplify and update the raw data set, which is the first merit in this paper. Based on it, the control limit is computed in terms of both KNN rule and SPC method, such that we can identify whether the current data is normal or not by online approach. Noted that the control limit obtained changes with updating database such that an adaptive fault detection technique that can effectively eliminate the impact of data drift and shift on the performance of detection process is obtained, which is the second merit in this paper. The efficiency of the developed method is demonstrated by the numerical examples and an industrial case. |
| WOS标题词 | Science & Technology ; Physical Sciences |
| 类目[WOS] | Mathematics, Applied |
| 研究领域[WOS] | Mathematics |
| 关键词[WOS] | PRINCIPAL COMPONENT ANALYSIS ; NEAREST-NEIGHBOR RULE ; SYSTEM IDENTIFICATION ; DIAGNOSIS ; OBSERVER ; FUZZY ; PCA |
| 收录类别 | SCI |
| 资助信息 | National Natural Science Foundation of China [61174119, 61104093, 61034006, 61174026]; MOST [2010CB334705]; National High Technology Research and Development Program of China (863 Program) [2011AA040101]; Liaoning Province of China [L2012141, L2011064] |
| 语种 | 英语 |
| WOS记录号 | WOS:000310301500001 |
| 公开日期 | 2013-10-05 |
| 源URL | [http://ir.sia.cn/handle/173321/12528]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 推荐引用方式 GB/T 7714 | Li JN,Li Y,Yu HB,et al. Adaptive Fault Detection for Complex Dynamic Processes Based on JIT Updated Data Set[J]. JOURNAL OF APPLIED MATHEMATICS,2012:17 pp.. |
| APA | Li JN,Li Y,Yu HB,Xie YH,&Zhang C.(2012).Adaptive Fault Detection for Complex Dynamic Processes Based on JIT Updated Data Set.JOURNAL OF APPLIED MATHEMATICS,17 pp.. |
| MLA | Li JN,et al."Adaptive Fault Detection for Complex Dynamic Processes Based on JIT Updated Data Set".JOURNAL OF APPLIED MATHEMATICS (2012):17 pp.. |
入库方式： OAI收割
来源：沈阳自动化研究所
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