A Review on Data-Driven Learning Approaches for Fault Detection and Diagnosis in Chemical Processes

Main Authors: Taqvi, S.A.A., Zabiri, H., Tufa, L.D., Uddin, F., Fatima, S.A., Maulud, A.S.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.24198 /
Published: John Wiley and Sons Inc 2021
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101652524&doi=10.1002%2fcben.202000027&partnerID=40&md5=f74e62b02d26d7067bfbdff86534b992
http://eprints.utp.edu.my/24198/
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spelling utp-eprints.241982021-08-23T08:03:19Z A Review on Data-Driven Learning Approaches for Fault Detection and Diagnosis in Chemical Processes Taqvi, S.A.A. Zabiri, H. Tufa, L.D. Uddin, F. Fatima, S.A. Maulud, A.S. John Wiley and Sons Inc 2021 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101652524&doi=10.1002%2fcben.202000027&partnerID=40&md5=f74e62b02d26d7067bfbdff86534b992 Taqvi, S.A.A. and Zabiri, H. and Tufa, L.D. and Uddin, F. and Fatima, S.A. and Maulud, A.S. (2021) A Review on Data-Driven Learning Approaches for Fault Detection and Diagnosis in Chemical Processes. ChemBioEng Reviews, 8 (3). pp. 239-259. http://eprints.utp.edu.my/24198/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
format Article
author Taqvi, S.A.A.
Zabiri, H.
Tufa, L.D.
Uddin, F.
Fatima, S.A.
Maulud, A.S.
spellingShingle Taqvi, S.A.A.
Zabiri, H.
Tufa, L.D.
Uddin, F.
Fatima, S.A.
Maulud, A.S.
A Review on Data-Driven Learning Approaches for Fault Detection and Diagnosis in Chemical Processes
author_sort Taqvi, S.A.A.
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 John Wiley and Sons Inc
publishDate 2021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101652524&doi=10.1002%2fcben.202000027&partnerID=40&md5=f74e62b02d26d7067bfbdff86534b992
http://eprints.utp.edu.my/24198/
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score 11.62408