A review on data-driven learning approaches for fault detection and diagnosis in chemical processes

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Main Authors: Taqvi, Syed Ali Ammar, Zabiri, Haslinda, Tufa, Lemma Dendena, Uddin, Fahim, Fatima, Syeda Anmol, Maulud, Abdulhalim Shah
Format: Article
Published: Wiley Online Library 2021
Online Access:http://scholars.utp.edu.my/id/eprint/34644/
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spelling oai:scholars.utp.edu.my:346442023-03-20T01:27:09Z http://scholars.utp.edu.my/id/eprint/34644/ A review on data-driven learning approaches for fault detection and diagnosis in chemical processes Taqvi, Syed Ali Ammar Zabiri, Haslinda Tufa, Lemma Dendena Uddin, Fahim Fatima, Syeda Anmol Maulud, Abdulhalim Shah Wiley Online Library 2021 Article NonPeerReviewed Taqvi, Syed Ali Ammar and Zabiri, Haslinda and Tufa, Lemma Dendena and Uddin, Fahim and Fatima, Syeda Anmol and Maulud, Abdulhalim Shah (2021) A review on data-driven learning approaches for fault detection and diagnosis in chemical processes. ChemBioEng Reviews, 8 (3). pp. 239-259.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Article
author Taqvi, Syed Ali Ammar
Zabiri, Haslinda
Tufa, Lemma Dendena
Uddin, Fahim
Fatima, Syeda Anmol
Maulud, Abdulhalim Shah
spellingShingle Taqvi, Syed Ali Ammar
Zabiri, Haslinda
Tufa, Lemma Dendena
Uddin, Fahim
Fatima, Syeda Anmol
Maulud, Abdulhalim Shah
A review on data-driven learning approaches for fault detection and diagnosis in chemical processes
author_facet Taqvi, Syed Ali Ammar
Zabiri, Haslinda
Tufa, Lemma Dendena
Uddin, Fahim
Fatima, Syeda Anmol
Maulud, Abdulhalim Shah
author_sort Taqvi, Syed Ali Ammar
title A review on data-driven learning approaches for fault detection and diagnosis in chemical processes
title_short A review on data-driven learning approaches for fault detection and diagnosis in chemical processes
title_full A review on data-driven learning approaches for fault detection and diagnosis in chemical processes
title_fullStr A review on data-driven learning approaches for fault detection and diagnosis in chemical processes
title_full_unstemmed A review on data-driven learning approaches for fault detection and diagnosis in chemical processes
title_sort review on data-driven learning approaches for fault detection and diagnosis in chemical processes
publisher Wiley Online Library
publishDate 2021
url http://scholars.utp.edu.my/id/eprint/34644/
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score 13.214268