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020 _a9789811659591
024 7 _a10.1007/978-981-16-5959-1
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTA169.6
_b2022 EB
100 1 _aWang, Ziyun
_eautor
_9687364
_d1989-
245 1 0 _aAdvances in Fault Detection and Diagnosis Using Filtering Analysis
_cby Ziyun Wang, Yan Wang, Zhicheng Ji
250 _a1st edition 2022
264 1 _aSingapore
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XXI, 176 páginas)
_b107 ilustraciones, 96 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
505 0 _aIntroduction -- Design of state space based fault diagnosis filter -- Design of ellipsoid set-membership based fault detection filtering -- Design of polyhedron set-membership based fault detection filter -- Design of interval set-membership based fault detection filter -- Design of orthotopic set-membership based fault diagnosis filter -- Fault diagnosis method based on composite set-membership filter -- Summary.
520 _aThe book provides fault detection and diagnosis approaches from the perspective of filtering analysis. In order to design fault detection filters, it uses set-membership principles to deal with the unknown but bounded noise term. Some regular geometric spaces are introduced, such as the ellipsoid, polyhedron, interval, to describe the feasible parameter sets of the given system. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. Some typical application cases are studied for fault detection and diagnosis in detail, which are power converter, permanent magnet synchronous motor, pitch system of wind turbine. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of fault detection and diagnosis.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9414515
_aFallos (Ingeniería)
700 1 _945973
_aWang, Yang
_eautor
700 1 _9687377
_aJi, Zhicheng
_eautor
_d1959-
776 0 8 _iPrinted edition:
_z9789811659584
776 0 8 _iPrinted edition:
_z9789811659607
776 0 8 _iPrinted edition:
_z9789811659614
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-5959-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2023
_dz
_eu
_zSI