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Fault Diagnosis Inverse Problems: Solution with Metaheuristics

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

Part of the Studies in Computational Intelligence book series (SCI, volume 763)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Lídice Camps Echevarría, Orestes Llanes Santiago, Haroldo Fraga de Campos Velho, Antônio José da Silva Neto
    Pages 1-9
  3. Lídice Camps Echevarría, Orestes Llanes Santiago, Haroldo Fraga de Campos Velho, Antônio José da Silva Neto
    Pages 11-41
  4. Lídice Camps Echevarría, Orestes Llanes Santiago, Haroldo Fraga de Campos Velho, Antônio José da Silva Neto
    Pages 43-83
  5. Lídice Camps Echevarría, Orestes Llanes Santiago, Haroldo Fraga de Campos Velho, Antônio José da Silva Neto
    Pages 85-138
  6. Lídice Camps Echevarría, Orestes Llanes Santiago, Haroldo Fraga de Campos Velho, Antônio José da Silva Neto
    Pages 139-140
  7. Back Matter
    Pages 141-167

About this book

Introduction

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.

Keywords

inverse problems optimization metaheuristics fault diagnosis FD-IPM FDI differential evolution particle collision algorithm ant colony optimization particle swarm optimization

Authors and affiliations

  • Lídice Camps Echevarría
    • 1
  • Orestes Llanes Santiago
    • 2
  • Haroldo Fraga de Campos Velho
    • 3
  • Antônio José da Silva Neto
    • 4
  1. 1.Centro de Estudios de MatemáticaUniversidad Tecnológica de La Habana José, Antonio Echeverría, CUJAEMarianaoCuba
  2. 2.Dpto. de Automática y ComputaciónUniversidad Tecnológica de La Habana José, Antonio Echeverría, CUJAEMarianaoCuba
  3. 3.National Institute for Space Research, INPESão José dos CamposBrazil
  4. 4.Instituto PolitécnicoUniversidade do Estado do Rio de Janeiro, UERJNova FriburgoBrazil

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-89978-7
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-89977-0
  • Online ISBN 978-3-319-89978-7
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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