A Hybrid Approach for Power Plant Fault Diagnostics
Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Application Software, Computer Graphics, General Computing
| Author: | Tamiru Alemu Lemma | ISBN: | 9783319718712 |
| Publisher: | Springer International Publishing | Publication: | December 30, 2017 |
| Imprint: | Springer | Language: | English |
| Author: | Tamiru Alemu Lemma |
| ISBN: | 9783319718712 |
| Publisher: | Springer International Publishing |
| Publication: | December 30, 2017 |
| Imprint: | Springer |
| Language: | English |
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.
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.
