04450nam 22006975 450 991037390470332120200702122757.03-030-35930-110.1007/978-3-030-35930-0(CKB)4100000010119209(DE-He213)978-3-030-35930-0(MiAaPQ)EBC6027157(PPN)242848796(EXLCZ)99410000001011920920200122d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierData Intensive Industrial Asset Management IoT-based Algorithms and Implementation /by Farhad Balali, Jessie Nouri, Adel Nasiri, Tian Zhao1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XXI, 236 p. 132 illus., 126 illus. in color.) 3-030-35929-8 Principles 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.This 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.Quality controlReliabilityIndustrial safetyBuildings—Design and constructionBuildingConstructionEngineering, ArchitecturalStatistics Quality Control, Reliability, Safety and Riskhttps://scigraph.springernature.com/ontologies/product-market-codes/T22032Building Construction and Designhttps://scigraph.springernature.com/ontologies/product-market-codes/T23012Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17020Quality control.Reliability.Industrial safety.Buildings—Design and construction.Building.Construction.Engineering, Architectural.Statistics .Quality Control, Reliability, Safety and Risk.Building Construction and Design.Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.670.427Balali Farhadauthttp://id.loc.gov/vocabulary/relators/aut927219Nouri Jessieauthttp://id.loc.gov/vocabulary/relators/autNasiri Adelauthttp://id.loc.gov/vocabulary/relators/autZhao Tianauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910373904703321Data Intensive Industrial Asset Management2083328UNINA