Fault Diagnosis Inverse Problems: Solution with Metaheuristics - Camps Echevarría, Lídice
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Présentation Fault Diagnosis Inverse Problems: Solution With Metaheuristics de Camps Echevarría, Lídice Format Broché
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Résumé :
Presents solutions for fault diagnosis problems using an interdisciplinary perspective, combining inverse problem methodology and metaheuristics
Biographie:
L?dice Camps Echeverr?a holds bachelor's and master's 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 Tecnol?gica de La Habana Jos? Antonio Echeverr?a, CUJAE, Cuba. Since 2006 she has pursued research at the Technological University of La Habana Jos? 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.
Sommaire:
Chapter 01- Model-based Fault Diagnosis and Inverse Problems.- Chapter 02- Fault Diagnosis Inverse Problems.- Chapter 03- Metaheuristics for Optimization Problems.- Chapter 04- Applications of the Fault Diagnosis: Inverse Problem Methodology to Benchmark Problems.- Chapter 05- Final Remarks.- Appendix A- Implementation in Matlab of Differential Evolution with Particle Collision (DEwPC).- Appendix B- Implementation in Mathlab of Particle Swarm Optimization with Memory (PSO-M).- References.