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Improved Locally Linear Embedding based method for nonlinear system fault detection
Zhang W(张伟); Liu XY(刘晓源); Qi RL(祁若龙); Jiang Y(姜勇)
作者部门空间自动化技术研究室
关键词Fault Detection Nonlinear Systems
发表期刊International Journal of Advancements in Computing Technology
ISSN2005-8039
2013
卷号5期号:1页码:515-523
产权排序1
摘要In order to detect faults of nonlinear systems, an approach based on improved Locally Linear Embedding (LLE) was proposed. Firstly, the raw data was projected to lower dimensional space by LLE. In this step, tangent space distance was introduced to LLE and certain enhancement had also been made to intrinsic dimension estimation to make the approach more efficient and robust. Secondly, the inner class distance of data was calculated as an index of fault detection. To demonstrate the effectiveness of the improved LLE method, it is applied to Tennessee Eastman (TE) process and compared with kernel principle component analysis (KPCA) method. By simulation analysis, the false negative rate of the proposed approach achieves 4.498% in average, which is much better than 77.53% of KPCA, certifying the effectiveness of the approach to nonlinear fault detection.
语种英语
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/10540
专题空间自动化技术研究室
通讯作者Zhang W(张伟)
作者单位State Key Laboratory of Robotics, Shenyang Institute of Automation (SIA), CSA, 11016, China
推荐引用方式
GB/T 7714
Zhang W,Liu XY,Qi RL,et al. Improved Locally Linear Embedding based method for nonlinear system fault detection[J]. International Journal of Advancements in Computing Technology,2013,5(1):515-523.
APA Zhang W,Liu XY,Qi RL,&Jiang Y.(2013).Improved Locally Linear Embedding based method for nonlinear system fault detection.International Journal of Advancements in Computing Technology,5(1),515-523.
MLA Zhang W,et al."Improved Locally Linear Embedding based method for nonlinear system fault detection".International Journal of Advancements in Computing Technology 5.1(2013):515-523.
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