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710	2		_aSpringerLink (Online service) _9106996
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008			180528s2019 gw a o |||| 0|eng d
020			_a9783319899787
024	7		_a10.1007/978-3-319-89978-7 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_a TA169.6 _b2019 EB
100	1		_aCamps Echevarría, Lídice _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9673531
245	1	0	_aFault Diagnosis Inverse Problems : _bSolution with Metaheuristics _cby Lídice Camps Echevarría, Orestes Llanes Santiago, Haroldo Fraga de Campos Velho, Antônio José da Silva Neto
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019.
300			_a1 recurso en línea (XVIII, 167 páginas) _b68 ilustraciones, 52 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
490	0		_aStudies in Computational Intelligence _x1860-949X ; _v763
505	0		_aChapter 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.
520	3		_aThis 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.
988			_aPrimersemestre_2019_Engineering
650		7	_2embne _aDiagnóstico de fallos _9669484
700	1		_aCampos Velho, Haroldo Fraga de. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aLlanes Santiago, Orestes. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aSilva Neto, Antônio José da. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783030079086
776	0	8	_iPrinted edition: _z9783319899770
776	0	8	_iPrinted edition: _z9783319899794
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-89978-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_dz _feng _ggw _h0 _b05/2020 _eIG _zSI