Description: Fault Diagnosis Inverse Problems: Solution with Metaheuristics by Orestes Llanes Santiago, Haroldo Fraga de Campos Velho, Lídice Camps Echevarría, Antônio José da Silva Neto Estimated delivery 3-12 business days Format Paperback Condition Brand New 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. Publisher 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. Author Biography Lídice Camps Echeverría holds bachelors and masters degrees in Mathematics at Universidad de La Habana in 2006 and 2009 respectively. She obtained the PhD in Engineering (2012), with minor in Automatics and Computer Science, at Universidad Tecnológica de La Habana José Antonio Echeverría, CUJAE, Cuba. Since 2006 she has pursued research at the Technological University of La Habana "José Antonio Echeverria" - CUJAE, Cuba. In 2011-2012, she undertook research at the National Institute for Space Research – INPE, Brazil, and at the Polytechnic Institute of Rio de Janeiro State University (IPRJ-UERJ). Her fields of interest include fault diagnosis and soft computing, with a focus on metaheuristics for optimization.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 masters 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 bachelors degree in Chemical Engineering from the Pontifical Catholic University of Rio Grande do Sul (1983), Brazil, and a masters 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 bachelors degree in Mechanical and Nuclear Engineering (1983) and a masters 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. Details ISBN 3030079082 ISBN-13 9783030079086 Title Fault Diagnosis Inverse Problems: Solution with Metaheuristics Author Orestes Llanes Santiago, Haroldo Fraga de Campos Velho, Lídice Camps Echevarría, Antônio José da Silva Neto Format Paperback Year 2019 Pages 167 Publisher Springer Nature Switzerland AG GE_Item_ID:158848665; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. 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Price: 104.2 USD
Location: Fairfield, Ohio
End Time: 2025-01-21T03:50:17.000Z
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ISBN-13: 9783030079086
Book Title: Fault Diagnosis Inverse Problems: Solution with Metaheuristics
Number of Pages: Xviii, 167 Pages
Publication Name: Fault Diagnosis Inverse Problems: Solution with Metaheuristics
Language: English
Publisher: Springer International Publishing A&G
Item Height: 0.4 in
Subject: Computer Science, Calculus, Applied, Optimization, Discrete Mathematics
Publication Year: 2019
Item Weight: 16 Oz
Type: Textbook
Author: Haroldo Fraga De Campos Velho, Lidice Camps Echevarria, Orestes Llanes Santiago, Antonio Jose Da Silva Neto
Item Length: 9.2 in
Subject Area: Mathematics, Computers
Item Width: 6.1 in
Series: Studies in Computational Intelligence Ser.
Format: Trade Paperback
