Orestes Llanes Santiago's Books

Monitoring Multimode Continuous Processes

A Data-Driven Approach

By: Marcos Quiñones-Grueiro,Orestes Llanes-Santiago,Antônio José Silva Neto

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Monitoring Multimode Continuous Processes

A Data-Driven Approach

By: Marcos Quiñones-Grueiro,Orestes Llanes-Santiago,Antônio José Silva Neto

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.

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Page Count

153

Publisher

Springer Nature

Published Date

ISBN 10

3030547388

ISBN 13

9783030547387

Fault Diagnosis Inverse Problems: Solution with Metaheuristics

By: Lídice Camps Echevarría,Orestes Llanes Santiago,Haroldo Fraga de Campos Velho,Antônio José da Silva Neto

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Fault Diagnosis Inverse Problems: Solution with Metaheuristics

By: Lídice Camps Echevarría,Orestes Llanes Santiago,Haroldo Fraga de Campos Velho,Antônio José da Silva Neto

This book presents a methodology based on inverse problems for use in solutions for fault diagnosis in control systems, combining tools from mathematics, physics, computational and mathematical modeling, optimization and computational intelligence. This methodology, known as fault diagnosis – inverse problem methodology or FD-IPM, unifies the results of several years of work of the authors in the fields of fault detection and isolation (FDI), inverse problems and optimization. The book clearly and systematically presents the main ideas, concepts and results obtained in recent years. By formulating fault diagnosis as an inverse problem, and by solving it using metaheuristics, the authors offer researchers and students a fresh, interdisciplinary perspective for problem solving in these fields. Graduate courses in engineering, applied mathematics and computing also benefit from this work.

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