000 03188nam a22005655i 4500
001 978-981-10-2032-2
003 DE-He213
005 20220801221815.0
007 cr nn 008mamaa
008 160727s2017 si | s |||| 0|eng d
020 _a9789811020322
_9978-981-10-2032-2
024 7 _a10.1007/978-981-10-2032-2
_2doi
050 4 _aTH9701-9745
072 7 _aTNKS
_2bicssc
072 7 _aTEC032000
_2bisacsh
072 7 _aTNKS
_2thema
082 0 4 _a621
_223
100 1 _aNiu, Gang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_958095
245 1 0 _aData-Driven Technology for Engineering Systems Health Management
_h[electronic resource] :
_bDesign Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions /
_cby Gang Niu.
250 _a1st ed. 2017.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2017.
300 _aXIII, 357 p. 204 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aBackground of Systems Health Management -- Design Approach for Systems Health Management -- Overview of Data-driven PHM -- Data Acquisition and Preprocessing -- Statistic Feature Extraction -- Feature Selection Optimization -- Intelligent Fault Diagnosis Methodology -- Science of Prognostics -- Data Fusion Strategy -- System Support and Logistics.
520 _aThis book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis.
650 0 _aSecurity systems.
_931879
650 0 _aElectronic digital computers—Evaluation.
_932046
650 0 _aMathematics.
_911584
650 0 _aData mining.
_93907
650 0 _aPattern recognition systems.
_93953
650 1 4 _aSecurity Science and Technology.
_931884
650 2 4 _aSystem Performance and Evaluation.
_932047
650 2 4 _aApplications of Mathematics.
_931558
650 2 4 _aData Mining and Knowledge Discovery.
_958096
650 2 4 _aAutomated Pattern Recognition.
_931568
710 2 _aSpringerLink (Online service)
_958097
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811020315
776 0 8 _iPrinted edition:
_z9789811020339
776 0 8 _iPrinted edition:
_z9789811095092
856 4 0 _uhttps://doi.org/10.1007/978-981-10-2032-2
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80073
_d80073