Abstract
As mentioned at the outset, the main purpose of this research is to develop a Fault Detection and Diagnosis (FDD) method that accommodates nonlinear characteristics of the system, variable operating conditions, signals from all possible sources and a diagnostic result with some imprecision targeted at emulating operators way of describing faulty conditions. To achieve the objective, the whole work was divided into sequence of steps. The first step was about reviewing the signals available for measurement and the faults likely to occur in a CCP. The conclusion from this stage has led us to choose appropriate model identification method. The second step was focused on model identification for normal operating conditions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
Lemma, T.A. (2018). Application Studies, Part-II: Fault Detection and Diagnostics. In: A Hybrid Approach for Power Plant Fault Diagnostics. Studies in Computational Intelligence, vol 743. Springer, Cham. https://doi.org/10.1007/978-3-319-71871-2_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-71871-2_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-71869-9
Online ISBN: 978-3-319-71871-2
eBook Packages: EngineeringEngineering (R0)