Overview
- Presents solutions for fault diagnosis problems using an interdisciplinary perspective, combining inverse problem methodology and metaheuristics
- Offers a systematic and clear overview of the main ideas, concepts and results in this field
- Brings together tools from mathematics, physics, modeling, optimization and computational intelligence
Part of the book series: Studies in Computational Intelligence (SCI, volume 763)
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Table of contents (5 chapters)
Keywords
About this book
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Authors and Affiliations
About the authors
Orestes Llanes Santiago graduated from the Instituto Superior Politécnico “José Antonio Echeverría” – CUJAE, Cuba, in 1981. From 1989 to 1994, he studied at the Universidad de Los Andes, Venezuela, where he obtained a master’s degree in Control Engineering (1990) and a PhD in Applied Sciences (1994). He is currently a full professor and researcher at the Automation and Computing Department of the Faculty of Automation and Biomedical Electrical Engineering at the CUJAE. He is titular member of the Academic of Sciences of Cuba. His areas of interest are fault diagnosis in industrial systems, nonlinear control and computational intelligence with applications to control.
Haroldo Fraga de Campos Velho has a bachelor’s degree in Chemical Engineering from the Pontifical Catholic University of Rio Grande do Sul (1983), Brazil, and a master’s degree (1988) and a PhD (1992) in Mechanical Engineering, with a focus on Nuclear Reactor Physics and Computational Fluid Dynamics, respectively, both from the Federal University of Rio Grande do Sul. He has been a researcher at the Computing and Applied Mathematics Laboratory of the National Institute for Space Research (INPE), Brazil, since 1988, and a full researcher since 2009. His work focuses on inverse problems, data assimilation, numerical methods and artificial neural networks.
Antônio José da Silva Neto holds a bachelor’s degree in Mechanical and Nuclear Engineering (1983) and a master’s degree in Nuclear Engineering (1989) from the Federal University of Rio de Janeiro, and a PhD in Mechanical Engineering from North Carolina State University (1993). He worked for the Brazilian National Nuclear Energy Commission (1984-1986), and Promon Engenharia (1986-1997). In 1997 he joined the Polytechnic Institute of Rio de Janeiro State University, where he has been a professor since 2013. His research interests are in two main areas: mechanical engineering, with a focus on heat transfer, and applied and computational mathematics, with a focus on numerical methods and inverse problems.
Bibliographic Information
Book Title: Fault Diagnosis Inverse Problems: Solution with Metaheuristics
Authors: Lídice Camps Echevarría, Orestes Llanes Santiago, Haroldo Fraga de Campos Velho, Antônio José da Silva Neto
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-89978-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2019
Hardcover ISBN: 978-3-319-89977-0Published: 05 June 2018
Softcover ISBN: 978-3-030-07908-6Published: 11 February 2019
eBook ISBN: 978-3-319-89978-7Published: 28 May 2018
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVIII, 167
Number of Illustrations: 16 b/w illustrations, 52 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Computational Science and Engineering, Calculus of Variations and Optimal Control; Optimization