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Technology of Network & Communication
|
2404-2409

Varimax rotation based K-nearest neighbor fault diagnosis strategy

Zhang Cheng
Guo Qingxiu
Li Yuan
Research Center of Technical Process Fault Diagnosis & Safety, Shenyang University of Chemical Technology, Shenyang 110142, China

Abstract

Aiming to improve the fault detection ability of FD-KNN in the nonlinear and multimodal process, this paper proposed a K-nearest neighbors fault detection method based on varimax rotation(Rot-KNN). Firstly, it implemented varimax rotation in observed data set to obtain an orthogonal space. Next, it implemented FD-KNN in the new orthogonal space to detect faults. At last, it proposed a fault diagnosis strategy based on contribution chart. A nonlinear simulation example and the Tennessee Eastman(TE) processes of a typical nonlinear industrial process prove that the method is effective for the latent variable fault diagnosis. The experimental results indicate that the proposed method outperforms the PCA, FD-KNN and PC-KNN.

Foundation Support

国家自然科学基金重大项目(61490701)
国家自然科学基金资助项目(61573088,61673279)
辽宁省教育厅重点实验室项目(LZ2015059)
辽宁省教育厅一般项目(L2015432)
辽宁省自然科学基金资助项目(2015020164)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.02.0139
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Technology of Network & Communication
Pages: 2404-2409
Serial Number: 1001-3695(2019)08-034-2404-06

Publish History

[2019-08-05] Printed Article

Cite This Article

张成, 郭青秀, 李元. 基于方差最大化旋转变换的K近邻故障诊断策略 [J]. 计算机应用研究, 2019, 36 (8): 2404-2409. (Zhang Cheng, Guo Qingxiu, Li Yuan. Varimax rotation based K-nearest neighbor fault diagnosis strategy [J]. Application Research of Computers, 2019, 36 (8): 2404-2409. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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