TY - BOOK
T1 - Data-Driven and Model-Based Methods for Fault Detection and Diagnosis
AU - Mansouri, Majdi
AU - Harkat, Mohamed Faouzi
AU - Nounou, Hazem N.
AU - Nounou, Mohamed N.
N1 - Publisher Copyright:
© 2020 Elsevier Inc. All rights reserved.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and enhance monitoring through chemical and environmental processes. The book provides both the theoretical framework and technical solutions. It starts with a review of relevant literature, proceeds with a detailed description of developed methodologies, and then discusses the results of developed methodologies, and ends with major conclusions reached from the analysis of simulation and experimental studies. The book is an indispensable resource for researchers in academia and industry and practitioners working in chemical and environmental engineering to do their work safely.
AB - Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and enhance monitoring through chemical and environmental processes. The book provides both the theoretical framework and technical solutions. It starts with a review of relevant literature, proceeds with a detailed description of developed methodologies, and then discusses the results of developed methodologies, and ends with major conclusions reached from the analysis of simulation and experimental studies. The book is an indispensable resource for researchers in academia and industry and practitioners working in chemical and environmental engineering to do their work safely.
UR - http://www.scopus.com/inward/record.url?scp=85099314846&partnerID=8YFLogxK
U2 - 10.1016/C2018-0-04213-9
DO - 10.1016/C2018-0-04213-9
M3 - Book
AN - SCOPUS:85099314846
SN - 9780128191651
BT - Data-Driven and Model-Based Methods for Fault Detection and Diagnosis
PB - Elsevier
ER -