001442498 000__ 03383cam\a2200577\i\4500
001442498 001__ 1442498
001442498 003__ OCoLC
001442498 005__ 20230310003421.0
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001442498 007__ cr\un\nnnunnun
001442498 008__ 211027s2022\\\\si\a\\\\ob\\\\000\0\eng\d
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001442498 020__ $$a9789811659591$$q(electronic bk.)
001442498 020__ $$a9811659591$$q(electronic bk.)
001442498 020__ $$z9789811659584
001442498 020__ $$z9811659583
001442498 0247_ $$a10.1007/978-981-16-5959-1$$2doi
001442498 035__ $$aSP(OCoLC)1280458139
001442498 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dDCT$$dOCLCF$$dOCLCO$$dDKU$$dOCLCQ$$dOCLCO$$dOCLCQ
001442498 049__ $$aISEA
001442498 050_4 $$aTA169.6$$b.W36 2022
001442498 08204 $$a620/.0044$$223
001442498 1001_ $$aWang, Ziyun,$$eauthor.
001442498 24510 $$aAdvances in fault detection and diagnosis using filtering analysis /$$cZiyun Wang, Yan Wang, Zhicheng Ji.
001442498 264_1 $$aSingapore :$$bSpringer,$$c[2022]
001442498 264_4 $$c©2022
001442498 300__ $$a1 online resource :$$billustrations (chiefly color)
001442498 336__ $$atext$$btxt$$2rdacontent
001442498 337__ $$acomputer$$bc$$2rdamedia
001442498 338__ $$aonline resource$$bcr$$2rdacarrier
001442498 347__ $$atext file
001442498 347__ $$bPDF
001442498 504__ $$aIncludes bibliographical references.
001442498 5050_ $$aIntroduction -- Design of state space based fault diagnosis lter -- Design of ellipsoid set-membership based fault detection ltering -- Design of polyhedron set-membership based fault detection lter -- Design of interval set-membership based fault detection lter -- Design of orthotopic set-membership based fault diagnosis lter -- Fault diagnosis method based on composite set-membership lter -- Summary.
001442498 506__ $$aAccess limited to authorized users.
001442498 520__ $$aThe book provides fault detection and diagnosis approaches from the perspective of filtering analysis. In order to design fault detection filters, it uses set-membership principles to deal with the unknown but bounded noise term. Some regular geometric spaces are introduced, such as the ellipsoid, polyhedron, interval, to describe the feasible parameter sets of the given system. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. Some typical application cases are studied for fault detection and diagnosis in detail, which are power converter, permanent magnet synchronous motor, pitch system of wind turbine. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of fault detection and diagnosis.
001442498 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 10, 2021).
001442498 650_0 $$aFault location (Engineering)
001442498 650_0 $$aKalman filtering.
001442498 650_6 $$aDétection de défaut (Ingénierie)
001442498 650_6 $$aFiltre de Kalman.
001442498 655_0 $$aElectronic books.
001442498 7001_ $$aWang, Yan,$$eauthor.
001442498 7001_ $$aJi, Zhicheng,$$eauthor.
001442498 77608 $$iPrint version:$$aWang, Ziyun.$$tAdvances in fault detection and diagnosis using filtering analysis.$$dSingapore : Springer, [2022]$$z9811659583$$z9789811659584$$w(OCoLC)1262964872
001442498 852__ $$bebk
001442498 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-5959-1$$zOnline Access$$91397441.1
001442498 909CO $$ooai:library.usi.edu:1442498$$pGLOBAL_SET
001442498 980__ $$aBIB
001442498 980__ $$aEBOOK
001442498 982__ $$aEbook
001442498 983__ $$aOnline
001442498 994__ $$a92$$bISE