 Название: Fault Diagnosis Inverse Problems: Solution with Metaheuristics
Автор: L?dice Camps Echeverr?a, Orestes Llanes Santiago, Haroldo Fraga de Campos Velho, Ant?nio Jos? da Silva Neto
Издательство: Springer International Publishing
Год: 2018
ISBN: 9783319899770
Серия: Studies in Computational Intelligence (Book 763)
Формат: epub, pdf
Страниц: XVIII, 167
Размер: 17,2 mb
Язык: English
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.
Model Based Fault Diagnosis and Inverse Problems
Camps Echevarr?a, L?dice (et al.)
Pages 1-9
Fault Diagnosis Inverse Problems
Camps Echevarr?a, L?dice (et al.)
Pages 11-41
Metaheuristics for Optimization Problems
Camps Echevarr?a, L?dice (et al.)
Pages 43-83
Applications of the Fault Diagnosis: Inverse Problem Methodology to Benchmark Problems
Camps Echevarr?a, L?dice (et al.)
Pages 85-138
Final Remarks
Camps Echevarr?a, L?dice (et al.)
Pages 139-140
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Fault Diagnosis Inverse Problems: Solution with Metaheuristics 
