Novel adaptive fault detection method based on kernel entropy component analysis integrating moving window of dissimilarity for nonlinear dynamic processes-Reference-Cited by-同舟云学术

Novel adaptive fault detection method based on kernel entropy component analysis integrating moving window of dissimilarity for nonlinear dynamic processes

Published:2023-05 Issue: Volume:125 Page:1-18
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Li Tao,Han Yongming,Xu Wenxing,Geng Zhiqiang^ORCID

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Reference42 articles.

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4. Data-driven mode identification and unsupervised fault detection for nonlinear multimode processes;Wang;IEEE Trans. Ind. Inform.,2020

5. Distributed parallel PCA for modeling and monitoring of large-scale plant-wide processes with big data;Zhu;IEEE Trans. Ind. Inform.,2017

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