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020 _a9783030359300
024 7 _a10.1007/978-3-030-35930-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTK5105.8857
_b2020 EB
100 1 _aBalali, Farhad
_9672760
245 1 0 _aData Intensive Industrial Asset Management :
_bIoT-based Algorithms and Implementation
_cby Farhad Balali, Jessie Nouri, Adel Nasiri, Tian Zhao
250 _aPrimera edición 2020
264 1 _aCham
_bSpringer
_c2020
300 _a1 recurso en línea (XXI, 236 páginas)
_b 132 ilustraciones, 126 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aEngineering (Springer-11647)
505 0 _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.
520 3 _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.
988 _aPrimersemestre_2020_Engineering
650 7 _2embne
_9483083
_aInternet de los objetos
700 1 _aNouri, Jessie
_eautor
700 1 _aNasiri, Adel
_eautor
700 1 _aZhao, Tian
_eautor
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783030359294
776 0 8 _iPrinted edition:
_z9783030359317
776 0 8 _iPrinted edition:
_z9783030359324
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-35930-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b03/2020
_dz
_eu
_zSI