SCIENCE CHINA Information Sciences, Volume 64 , Issue 5 : 159204(2021) https://doi.org/10.1007/s11432-018-9807-7

Fault diagnosis of industrial process based on the optimal parametric t-distributed stochastic neighbor embedding

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  • ReceivedNov 18, 2018
  • AcceptedJan 31, 2019
  • PublishedJun 15, 2020


There is no abstract available for this article.


This work was supported by National Natural Science Foundation of China (Grant Nos. 61573050, 61473025), Fundamental Research Funds for the Central Universities of China (Grant No. XK1802-4), and Open-Project Grant Funded by the State Key Laboratory of Synthetical Automation for Process Industry at the Northeastern University (Grant No. PAL-N201702).


Appendixes A and B.


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  • Figure 1

    (Color online) (a) Industrial process fault classification diagnosis flow chart based on parametric t-SNE;protect łinebreak (b) structure of fault classification model based on parametric t-SNE.