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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 7
2078-2081

Improved weighted t-SNE algorithm and application in fault diagnosis

Xia Lisha1
Fang Huajing2
1. School of Business, University of Shanghai for Science & Technology, Shanghai 200093, China
2. School of Automation, Huazhong University of Science & Technology, Wuhan 430074, China
DOI: 10.19734/j.issn.1001-3695.2018.12.0952

Abstract

This paper proposed a novel Manhattan distance based weighted t-SNE(Mwt-SNE) algorithm on the basis of improved distance in stochastic neighbor embedding(SNE). Firstly, it calculated samples Manhattan distances rather than Euclidean distance from high dimensional space for their less affections of dimension. Next, it divided these Manhattan distances into three groups with K-means clustering algorithm and implemented weighting processing separately with tabular parameter optimization method. Then it calculated similarity conditional probabilities with weighted Manhattan distances according to values category distribution. The aim of weighted Manhattan distances was to enlarge the data distinction, promote dimension reduction and enhance classification significance. Finally, it established an Mwt-SNE algorithm based on-line fault diagnosis model and the corresponding control limit with KDE. The experimental results on TE chemical process show that the proposed Mwt-SNE algorithm reduces FAR(false alarm rate) and MAR(missing alarm rate) as well as improves stability and accuracy.

Foundation Support

国家自然科学基金资助项目(61473127,71572113)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.12.0952
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 7
Section: System Development & Application
Pages: 2078-2081
Serial Number: 1001-3695(2020)07-032-2078-04

Publish History

[2020-07-05] Printed Article

Cite This Article

夏丽莎, 方华京. 改进的加权t-SNE算法及在故障诊断中的应用 [J]. 计算机应用研究, 2020, 37 (7): 2078-2081. (Xia Lisha, Fang Huajing. Improved weighted t-SNE algorithm and application in fault diagnosis [J]. Application Research of Computers, 2020, 37 (7): 2078-2081. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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