PELLACO L.

Data-driven fault diagnosis is a promising approach for the early detection and isolation of malfunctions in power generation plants deploying solid oxide fuel cells (SOFCs). Despite the supervised classifier used in a data-driven system is trained by samples gathered under one specific design-point operating condition, during real operation...

Fault detection and isolation (FDI) systems represent a crucial element for the commercial diffusion of SOFC-based power generation plants. The physical quantities measured in the plant during the functioning feed a statistical classifier, in view of detecting and identifying possible faults. The classifier training is performed off ...

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