Fault Diagnosis Inverse Problems: Solution with Metaheuristics (Paperback, Softcover reprint of the original 1st ed. 2019)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 763
Release date:	February 2019
First published:	2019
Authors:	Lidice Camps Echevarria • Orestes Llanes Santiago • Haroldo Fraga de Campos Velho • Antonio Jose da Silva Neto
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Paperback
Pages:	167
Edition:	Softcover reprint of the original 1st ed. 2019
ISBN-13:	978-3-03-007908-6
Categories:	Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
LSN:	3-03-007908-2
Barcode:	9783030079086

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