000 | 03188nam a22005655i 4500 | ||
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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 |
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024 | 7 |
_a10.1007/978-981-10-2032-2 _2doi |
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050 | 4 | _aTH9701-9745 | |
072 | 7 |
_aTNKS _2bicssc |
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072 | 7 |
_aTEC032000 _2bisacsh |
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_aTNKS _2thema |
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082 | 0 | 4 |
_a621 _223 |
100 | 1 |
_aNiu, Gang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _958095 |
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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. |
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300 |
_aXIII, 357 p. 204 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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 |
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650 | 0 |
_aElectronic digital computers—Evaluation. _932046 |
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650 | 0 |
_aMathematics. _911584 |
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650 | 0 |
_aData mining. _93907 |
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650 | 0 |
_aPattern recognition systems. _93953 |
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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 |
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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 |
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