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020 _a9783319899787
_9978-3-319-89978-7
024 7 _a10.1007/978-3-319-89978-7
_2doi
050 4 _aTA342-343
072 7 _aPBWH
_2bicssc
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
072 7 _aPBWH
_2thema
072 7 _aTBJ
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082 0 4 _a003.3
_223
100 1 _aCamps Echevarría, Lídice.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_953051
245 1 0 _aFault Diagnosis Inverse Problems: Solution with Metaheuristics
_h[electronic resource] /
_cby Lídice Camps Echevarría, Orestes Llanes Santiago, Haroldo Fraga de Campos Velho, Antônio José da Silva Neto.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXVIII, 167 p. 68 illus., 52 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_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 _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.
650 0 _aMathematical models.
_94632
650 0 _aMathematics—Data processing.
_931594
650 0 _aMathematical optimization.
_94112
650 0 _aCalculus of variations.
_917382
650 1 4 _aMathematical Modeling and Industrial Mathematics.
_933097
650 2 4 _aComputational Science and Engineering.
_953052
650 2 4 _aCalculus of Variations and Optimization.
_931596
700 1 _aLlanes Santiago, Orestes.
_eauthor.
_0(orcid)0000-0002-6864-9629
_1https://orcid.org/0000-0002-6864-9629
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_953053
700 1 _aCampos Velho, Haroldo Fraga de.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_953054
700 1 _aSilva Neto, Antônio José da.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_953055
710 2 _aSpringerLink (Online service)
_953056
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319899770
776 0 8 _iPrinted edition:
_z9783319899794
776 0 8 _iPrinted edition:
_z9783030079086
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v763
_953057
856 4 0 _uhttps://doi.org/10.1007/978-3-319-89978-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79074
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