NDLI: Fuzzy Fault Diagnosis and Accommodation System for Hybrid Fuel-Cell/Gas-Turbine Power Plant

Content Provider	IEEE Xplore Digital Library
Author	Wenli Yang Lee, K.Y. Junker, S.T. Ghezel-Ayagh, H.
Copyright Year	1986
Abstract	The concept of hybrid fuel-cell power plants has shown its potential for applications and is already under commercialization. In a hybrid fuel-cell and turbine power plant, the control system is an essential component that guarantees reliable and efficient operations. However, due to the limited information possessed by particular local controllers, the plant may become degraded or unstable during system failures. To regulate the power plants under such abnormal situations, a fault diagnosis and accommodation (FDA) system based on fuzzy logic has been developed as an effective complement for the local control scheme. Being a quantitative approach, the fuzzy FDA system can be implemented with considerably lower complexities than an analytical fault regulator. The system structures and design methods are discussed in this paper. Three types of controllers are implemented and investigated. Simulation results are presented to verify the performance of the overall system.
Sponsorship	IEEE Power Engineering Society
Starting Page	1187
Ending Page	1194
Page Count	8
File Size	1063784
File Format	PDF
ISSN	08858969
Volume Number	25
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heating Fault diagnosis Turbines Fuel cells Artificial neural networks Power generation Fuzzy logic hybrid fuel-cell and turbine power plant Fault accommodation fault diagnosis fuel cells fuzzy logic
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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