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A hybrid approach for power plant fa...
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Lemma, Tamiru Alemu.
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A hybrid approach for power plant fault diagnostics
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A hybrid approach for power plant fault diagnostics/ by Tamiru Alemu Lemma.
作者:
Lemma, Tamiru Alemu.
出版者:
Cham :Springer International Publishing : : 2018.,
面頁冊數:
xii, 283 p. :ill., digital ;24 cm.
內容註:
Introduction -- 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.
Contained By:
Springer eBooks
標題:
Fault location (Engineering) -
電子資源:
http://dx.doi.org/10.1007/978-3-319-71871-2
ISBN:
9783319718712
A hybrid approach for power plant fault diagnostics
Lemma, Tamiru Alemu.
A hybrid approach for power plant fault diagnostics
[electronic resource] /by Tamiru Alemu Lemma. - Cham :Springer International Publishing :2018. - xii, 283 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.7431860-949X ;. - Studies in computational intelligence ;v.743..
Introduction -- 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.
This 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.
ISBN: 9783319718712
Standard No.: 10.1007/978-3-319-71871-2doiSubjects--Topical Terms:
649702
Fault location (Engineering)
LC Class. No.: TA169.6
Dewey Class. No.: 621.00452
A hybrid approach for power plant fault diagnostics
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Introduction -- 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.
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This 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.
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