A review on data-driven learning approaches for fault detection and diagnosis in chemical processes
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2021
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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. |
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Taqvi, Syed Ali Ammar Zabiri, Haslinda Tufa, Lemma Dendena Uddin, Fahim Fatima, Syeda Anmol Maulud, Abdulhalim Shah |
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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 |
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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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1761621122846031872 |
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13.211869 |