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.