Fault Diagnosis Inverse Problems: Solution with Metaheuristics (Hardcover, 1st ed. 2019)

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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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Product Description

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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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Studies in Computational Intelligence, 763

Release date

June 2018

Availability

Expected to ship within 12 - 17 working days

First published

2019

Authors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

167

Edition

1st ed. 2019

ISBN-13

978-3-319-89977-0

Barcode

9783319899770

Categories

LSN

3-319-89977-5



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