Autonomous Fault Diagnosis and Root Cause Analysis for the Processing System Using One-Class SVM and NN Permutation Algorithm-Reference-Cited by-同舟云学术

Autonomous Fault Diagnosis and Root Cause Analysis for the Processing System Using One-Class SVM and NN Permutation Algorithm

Published:2022-01-11 Issue:3 Volume:61 Page:1408-1422
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Arunthavanathan Rajeevan¹,Khan Faisal²^ORCID,Ahmed Salim¹^ORCID,Imtiaz Syed¹^ORCID

Affiliation:

1. Centre for Risk, Integrity, and Safety Engineering (C-RISE), Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s NLA1B 3X5, Canada

2. Mary Kay O’Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas77843, United States

Funder

Canada Research Chairs

Natural Sciences and Engineering Research Council of Canada

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.1c02731

Reference41 articles.

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4. A smart process controller framework for Industry 4.0 settings

5. Ming, L.; Zhao, J. In Review on Chemical Process Fault Detection and Diagnosis, 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS); IEEE, 2017; pp 457–462.

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