Tamiru Alemu Lemma

A Hybrid Approach for Power Plant Fault Diagnostics

• Gebundenes Buch

Produktbeschreibung

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 e ectiveness 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.

Produktdetails

• Studies in Computational Intelligence 743
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-71869-9
• 1st ed. 2018
• Seitenzahl: 296
• Erscheinungstermin: 20. Januar 2018
• Englisch
• Abmessung: 241mm x 160mm x 22mm
• Gewicht: 600g
• ISBN-13: 9783319718699
• ISBN-10: 331971869X
• Artikelnr.: 49564266

Inhaltsangabe

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.