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001 102167
003 DE-He213
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007 cr nn 008mamaa
008 171230s2018 gw | s |||| 0|eng d
020 _a9783319718712
024 7 _a10.1007/978-3-319-71871-2
_2doi
040 _aES-MaUEC
_bspa
050 4 _aQ342 2018 EB
100 1 _aLemma, Tamiru Alemu.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/2601151778210318130005/
245 1 2 _aA Hybrid Approach for Power Plant Fault Diagnostics
_cby Tamiru Alemu Lemma.
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XII, 283 páginas 161 ilustraciones, 138 ilustraciones a color.)
347 _atext file
_bPDF
490 0 _aStudies in Computational Intelligence,
_x1860-949X
_v743
505 0 _aIntroduction -- Literature Review -- Model Identification using Neuro-Fuzzy Approach -- Model Uncertainity, Fault Detection and Diagnostics -- Intelligent Fault Detection and Diagnostics -- Application Studies, Part-I: Model Identification and Validation -- Application Studies, Part-II: Fault Detection and Diagnostics -- Conclusion and Recommendation.
520 3 _aThis book provides a hybrid approach to fault detection and diagnostics. It presents a detailed analysis related to practical applications of the fault detection and diagnostics framework, and highlights recent findings on power plant nonlinear model identification and fault diagnostics. The effectiveness of the methods presented is tested using data acquired from actual cogeneration and cooling plants (CCPs). The models presented were developed by applying Neuro-Fuzzy (NF) methods. The book offers a valuable resource for researchers and practicing engineers alike.
650 7 _9666321
_aIngeniería asistida por ordenador
650 7 _aVisión por ordenador
_2embne
_9159793
650 7 _aInteligencia artificial
_2embne
_9413115
776 0 8 _iEdición impresa:
_z9783319718699
776 0 8 _iEdición impresa:
_z9783319718705
776 0 8 _iEdición impresa:
_z9783319891125
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-71871-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490 0 _aEngineering (Springer-11647)
988 _aEBSPRINGER_2018
998 _b12/2018
_dz
_ea
_feng
_ggw
_h0
999 _c102167
_d102167
_x1