000 | 02946nam a22005535i 4500 | ||
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001 | 978-3-319-71871-2 | ||
003 | DE-He213 | ||
005 | 20220801215122.0 | ||
007 | cr nn 008mamaa | ||
008 | 171230s2018 sz | s |||| 0|eng d | ||
020 |
_a9783319718712 _9978-3-319-71871-2 |
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024 | 7 |
_a10.1007/978-3-319-71871-2 _2doi |
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050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aTEC009000 _2bisacsh |
|
072 | 7 |
_aUYQ _2thema |
|
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aLemma, Tamiru Alemu. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _942455 |
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245 | 1 | 2 |
_aA Hybrid Approach for Power Plant Fault Diagnostics _h[electronic resource] / _cby Tamiru Alemu Lemma. |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
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300 |
_aXII, 283 p. 161 illus., 138 illus. in color. _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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490 | 1 |
_aStudies in Computational Intelligence, _x1860-9503 ; _v743 |
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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 | _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 | 0 |
_aComputational intelligence. _97716 |
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650 | 0 |
_aComputer vision. _942456 |
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650 | 0 |
_aElectric power production. _927574 |
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650 | 1 | 4 |
_aComputational Intelligence. _97716 |
650 | 2 | 4 |
_aComputer Vision. _942457 |
650 | 2 | 4 |
_aElectrical Power Engineering. _931821 |
650 | 2 | 4 |
_aMechanical Power Engineering. _932122 |
710 | 2 |
_aSpringerLink (Online service) _942458 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319718699 |
776 | 0 | 8 |
_iPrinted edition: _z9783319718705 |
776 | 0 | 8 |
_iPrinted edition: _z9783319891125 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-9503 ; _v743 _942459 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-71871-2 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
_c77130 _d77130 |