A Hybrid Approach for Power Plant Fault Diagnostics [electronic resource] / by Tamiru Alemu Lemma
- Author
- Lemma, Tamiru Alemu
- Published
- Cham : Springer International Publishing : Imprint: Springer, 2018.
- Physical Description
- XII, 283 pages 161 illustrations, 138 illustrations in color : online resource
- Additional Creators
- SpringerLink (Online service)
Access Online
- Series
- Contents
- 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.
- Summary
- 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.
- Subject(s)
- ISBN
- 9783319718712
- Digital File Characteristics
- text file PDF
- Part Of
- Springer eBooks
View MARC record | catkey: 22090316