Fault diagnosis inverse problems: solution with metaheuristics
type: Item
instance of: scholarly article
title: Fault diagnosis inverse problems: solution with metaheuristics
zbMATH Open document ID: 1414.93103
DOI: 10.1007/978-3-319-89978-7
author: Lídice Camps Echeverría
author: Orestes Llanes Santiago
author: Haroldo F. de Campos Velho
author: Antônio José da Silva Neto
published in: Studies in Computational Intelligence
publication date: 2018-07-04T00:00:00Z
review text: The book is written by a group of authors, all of them well-known for their research works in the field of model based fault diagnosis and inverse problems, metaheuristic and optimization problems. The book starts on a very elementary level, by introducing information about model based fault diagnosis and inverse problems. In Chapter 2 presents and formalizes fault diagnosis as an inverse problem as as the new methodology for fault diagnosis: fault diagnosis -- inverse problem methodology. The three benchmark problems used here: DC motor, inverted pendulum system and two tanks system. In Chapter 3 makes an introduction to metaheuristics for optimization. This Chapter also presents two new metaheuristics: particle swam optimization with memory and differential evolution with particle collision. Chapter 4 presents the application of fault diagnosis -- inverse problem methodology to the three benchmark problems considerer. Appendices A and B show the Matlab codes for the algorithm of the new metaheuristics differential evolution with particle collision and particle swarm optimization with memory, respectively. The book is complete, eminently readable, and is accessible to novices and experts working in the above-mentioned fields.
reviewed by: A. A. Martynyuk
Mathematics Subject Classification ID: 93C23
Mathematics Subject Classification ID: 94C12
Mathematics Subject Classification ID: 34K29
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 93B35
zbMATH DE Number: 6898570
zbMATH Keywords: inverse problem
zbMATH Keywords: fault diagnosis
zbMATH Keywords: differential evolution
zbMATH Keywords: particle collisions algorithm
zbMATH Keywords: optimization of continuous problems
zbMATH Keywords: robustness and sensitivity
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1007/978-3-319-89978-7
OpenAlex ID: W2809769659
description: scientific article; zbMATH DE number 6898570