Monitoring Multimode Continuous Processes: A Data-Driven Approach [Hardcover]

This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and systematically presents the main concepts, and approaches required to design fault diagnosis methods for multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.
Data-driven Fault Diagnosis.- Multimode Continuous Processes.- Multimode Continuous Processes Clustering.- Multimode Continuous Processes Monitoring.

Marcos Qui?ones Grueiro is graduated Summa Cum Laude of Automation in 2012 (Universidad Tecnol?gica de la Habana Jos? Antonio Echeverr?a). He obtained the M.S. degree in Industrial Informatics and Automation, and in 2017 the Ph.D. degree in Technical Sciences with specialization in Automation. Since 2012 he is a Professor at the Automation and Computing Department, Universidad Tecnol?gica de La Habana Jos? Antonio Echeverr?a, CUJAE, Cuba. He won the Excellence Scholarship from Mexican Government for Foreign Students in 2016, and made a one-year exchange program in Mexico (Universidad Nacional Aut?noma de Mexico, UNAM) from 2016 to 2017. He authored 10 journal papers, 3 book chapters, and 15 full conference papers. His research interest areas are process safety, fault detection and diagnosis of industrial processes, leak detection and location in water distribution networks, and reinforcement learning with applications to control.

 

OrestesLlanes Santiago obtained the Degree of Electrical Engineer from Instituto Superior Polit?cnico Jos? A. Echeverr?a, CUJAE, in La Habana-Cuba in 1981. He pursued graduate studies from 1989 to 1994 at the Universidad de Los Andes, M?rida-Venezuela,lCÅ