Robust statistical industrial fault monitoring: A machine learning-based distributed CCA and low frequency control charts-Reference-Cited by-同舟云学术

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Robust statistical industrial fault monitoring: A machine learning-based distributed CCA and low frequency control charts

Published:2024-11 Issue: Volume:299 Page:120460
ISSN:0009-2509
Container-title:Chemical Engineering Science
language:en
Short-container-title:Chemical Engineering Science

Author:

Ali Husnain^ORCID,Safdar Rizwan,Zhou Yuanqiang,Yao Yuan^ORCID,Yao Le,Zhang Zheng,Hammad Rasool Muhammad,Gao Furong

Publisher

Elsevier BV

Reference53 articles.

1. Fault detection using machine learning based dynamic ICA-distributed CCA: Application to industrial chemical process;Ali;Digital Chem. Eng.,2024

2. Multiscale detection of chemical process using improved distributed CCA-wavelet approach;Ali;IFAC-PapersOnLine,2023

3. Multiscale principal component analysis-signed directed graph based process monitoring and fault diagnosis;Ali;ACS Omega,2022

4. Fault diagnosis by using multiscale signed directed graph;Ali;AIP Conference Proceedings,2022

5. Multiscale monitoring of industrial chemical process using wavelet-entropy aided machine learning approach;Ali;Process Saf. Environ. Prot.,2023

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