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001360293 001__ 1360293
001360293 003__ OCoLC
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001360293 019__ $$a1138680347$$a1200515387$$a1203954701$$a1231079034$$a1231205107$$a1232661612$$a1243340503
001360293 020__ $$a9783030359300
001360293 020__ $$a3030359301
001360293 020__ $$z9783030359294
001360293 020__ $$a3030359298
001360293 020__ $$a9783030359294
001360293 020__ $$a9783030359317$$q(print)
001360293 020__ $$a303035931X
001360293 020__ $$a9783030359324$$q(print)
001360293 020__ $$a3030359328
001360293 0248_ $$a10.1007/978-3-030-35930-0
001360293 035__ $$aSP(OCoLC)1140366761$$z(OCoLC)1138680347$$z(OCoLC)1200515387$$z(OCoLC)1203954701$$z(OCoLC)1231079034$$z(OCoLC)1231205107$$z(OCoLC)1232661612$$z(OCoLC)1243340503
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001360293 049__ $$aISEA
001360293 050_4 $$aTA169.7$$b.D38 2020eb
001360293 08204 $$a658.56
001360293 1001_ $$aBalali, Farhad.
001360293 24510 $$aData Intensive Industrial Asset Management :$$bIoT-based Algorithms and Implementation /$$cby Farhad Balali, Jessie Nouri, Adel Nasiri, Tian Zhao.
001360293 250__ $$a1st ed. 2020.
001360293 260__ $$aCham :$$bSpringer International Publishing,$$c2020 :$$bImprint Springer.
001360293 300__ $$a1 online resource (XXI, 236 pages 132 illustrations, 126 illustrations in color.) :$$bonline resource
001360293 336__ $$atext$$btxt$$2rdacontent
001360293 337__ $$acomputer$$bc$$2rdamedia
001360293 338__ $$aonline resource$$bcr$$2rdacarrier
001360293 347__ $$atext file$$bPDF$$2rda
001360293 504__ $$aIncludes bibliographical references and index.
001360293 5050_ $$aPrinciples of Internet of Things (IoT) -- Asset Management and Maintenance Policies -- Statistical Data Analysis -- Descriptive, Diagnostics, Predictive, and Prescriptive Analysis -- Fault and Risk Analysis -- Predictive Failure Detection Algorithms -- Smart Device Function and Operation -- Data Driven Approaches -- Parameter Selection and Real Time Monitoring -- Edge and Cloud Computing -- Data Analytics and Visualization -- Artificial Intelligence for Predictive Maintenance -- Implementation Tools -- Case Studies.
001360293 506__ $$aAccess limited to authorized users.
001360293 520__ $$aThis book presents a step by step Asset Health Management Optimization Approach Using Internet of Things (IoT). The authors provide a comprehensive study which includes the descriptive, diagnostic, predictive, and prescriptive analysis in detail. The presentation focuses on the challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition, machine learning techniques, asset failure distribution estimation, reliability and availability enhancement, condition based maintenance policy, failure detection, data driven optimization algorithm, and a multi-objective optimization approach, all of which can significantly enhance the reliability and availability of the system. Provides a comprehensive reference, focused on the Asset Health Management Optimization Approach Using Internet of Things (IoT); Describes a data-driven optimization method, which considers the challenges raise by big data analysis; Enables a multi-objective approach, which includes the healthy index, reliability, availability, and cost, with respect to the optimization methods and computational restrictions which can have various applications.
001360293 650_0 $$aQuality control.
001360293 650_0 $$aReliability.
001360293 650_0 $$aIndustrial safety.
001360293 650_0 $$aBuildings$$xDesign and construction.
001360293 650_0 $$aBuilding.
001360293 650_0 $$aConstruction.
001360293 650_0 $$aEngineering, Architectural.
001360293 650_0 $$aStatistics.
001360293 655_0 $$aElectronic books
001360293 7001_ $$aNouri, Jessie.
001360293 7001_ $$aNasiri, Adel.
001360293 7001_ $$aZhao, Tian.
001360293 77608 $$iPrint version:$$aBalali, Farhad.$$tData Intensive Industrial Asset Management : IoT-Based Algorithms and Implementation.$$dCham : Springer, ©2020$$z9783030359294
001360293 852__ $$bebk
001360293 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-35930-0$$zOnline Access$$91397441.1
001360293 909CO $$ooai:library.usi.edu:1360293$$pGLOBAL_SET
001360293 980__ $$aBIB
001360293 980__ $$aEBOOK
001360293 982__ $$aEbook
001360293 983__ $$aOnline
001360293 994__ $$a92$$bISE