000 03965nam a22005535i 4500
001 978-3-030-35930-0
003 DE-He213
005 20220801213832.0
007 cr nn 008mamaa
008 200122s2020 sz | s |||| 0|eng d
020 _a9783030359300
_9978-3-030-35930-0
024 7 _a10.1007/978-3-030-35930-0
_2doi
050 4 _aTH9701-9745
072 7 _aTNKS
_2bicssc
072 7 _aTEC032000
_2bisacsh
072 7 _aTNKS
_2thema
082 0 4 _a621
_223
100 1 _aBalali, Farhad.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934665
245 1 0 _aData Intensive Industrial Asset Management
_h[electronic resource] :
_bIoT-based Algorithms and Implementation /
_cby Farhad Balali, Jessie Nouri, Adel Nasiri, Tian Zhao.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXXI, 236 p. 132 illus., 126 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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 _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.
650 0 _aSecurity systems.
_931879
650 0 _aBuildings—Design and construction.
_932147
650 0 _aStatistics .
_931616
650 1 4 _aSecurity Science and Technology.
_931884
650 2 4 _aBuilding Construction and Design.
_932148
650 2 4 _aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
_931790
700 1 _aNouri, Jessie.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934666
700 1 _aNasiri, Adel.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934667
700 1 _aZhao, Tian.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934668
710 2 _aSpringerLink (Online service)
_934669
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030359294
776 0 8 _iPrinted edition:
_z9783030359317
776 0 8 _iPrinted edition:
_z9783030359324
856 4 0 _uhttps://doi.org/10.1007/978-3-030-35930-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75652
_d75652