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001442094 001__ 1442094
001442094 003__ OCoLC
001442094 005__ 20230310003312.0
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001442094 019__ $$a1263025439
001442094 020__ $$a9789811622670$$q(electronic bk.)
001442094 020__ $$a9811622671$$q(electronic bk.)
001442094 020__ $$z9811622663
001442094 020__ $$z9789811622663
001442094 0247_ $$a10.1007/978-981-16-2267-0$$2doi
001442094 035__ $$aSP(OCoLC)1262554636
001442094 040__ $$aYDX$$beng$$epn$$cYDX$$dEBLCP$$dGW5XE$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCQ$$dOCLCO$$dOCLCQ
001442094 049__ $$aISEA
001442094 050_4 $$aTS192
001442094 08204 $$a658.2/7$$223
001442094 1001_ $$aHu, Changhua.
001442094 24510 $$aResidual life prediction and optimal maintenance decision for a piece of equipment /$$cChanghua Hu, Hongdong Fan, Zhaoqiang Wang.
001442094 260__ $$aSingapore :$$bSpringer,$$c2021.
001442094 300__ $$a1 online resource
001442094 336__ $$atext$$btxt$$2rdacontent
001442094 337__ $$acomputer$$bc$$2rdamedia
001442094 338__ $$aonline resource$$bcr$$2rdacarrier
001442094 504__ $$aIncludes bibliographical references.
001442094 5050_ $$aIntroduction -- Degradation modelling and remaining useful life estimation based on a nonlinear diffusion process -- Degradation modelling and remaining useful life estimation based on a Wiener process with change points -- Residual life prediction based on an inverse-Gaussian process -- Degradation modelling and remaining useful life prediction with support vector machines -- Degradation modelling and remaining useful life estimation based on a relative vector machine fuzzy model -- Performance degradation modelling and reliability prediction based on evidential reasoning approach -- Residual life prediction based on a weight selected particle filter -- Optimal inspection policy based on predicted life information for a deteriorating equipment -- Cooperative predictive maintenance of repairable systems with dependent failure modes and resource constraint.
001442094 506__ $$aAccess limited to authorized users.
001442094 520__ $$aThis book addresses remaining life prediction and predictive maintenance of equipment. It systematically summarizes the key research findings made by the author and his team and focuses on how to create equipment performance degradation and residual life prediction models based on the performance monitoring data produced by currently used and historical equipment. Some of the theoretical results covered here have been used to make remaining life predictions and maintenance-related decisions for aerospace products such as gyros and platforms. Given its scope, the book offers a valuable reference guide for those pursuing theoretical or applied research in the areas of fault diagnosis and fault-tolerant control, remaining life prediction, and maintenance decision-making.
001442094 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 17, 2021).
001442094 650_0 $$aIndustrial equipment$$xMaintenance and repair$$xMathematical models.
001442094 650_0 $$aMaintainability (Engineering)$$xMathematical models.
001442094 650_6 $$aEntreprises$$xÉquipement$$xEntretien et réparations$$xModèles mathématiques.
001442094 650_6 $$aMaintenabilité$$xModèles mathématiques.
001442094 655_0 $$aElectronic books.
001442094 7001_ $$aFan, Hongdong,$$eauthor.
001442094 7001_ $$aWang, Zhaoqiang,$$eauthor.
001442094 77608 $$iPrint version:$$aHu, Changhua.$$tResidual life prediction and optimal maintenance decision for a piece of equipment.$$dSingapore : Springer, 2021$$z9811622663$$z9789811622663$$w(OCoLC)1245658715
001442094 852__ $$bebk
001442094 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-2267-0$$zOnline Access$$91397441.1
001442094 909CO $$ooai:library.usi.edu:1442094$$pGLOBAL_SET
001442094 980__ $$aBIB
001442094 980__ $$aEBOOK
001442094 982__ $$aEbook
001442094 983__ $$aOnline
001442094 994__ $$a92$$bISE