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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.