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Keywords: artificial neural network
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Proceedings Papers

Proc. ASME. GTINDIA2019, Volume 2: Combustion, Fuels, and Emissions; Renewable Energy: Solar and Wind; Inlets and Exhausts; Emerging Technologies: Hybrid Electric Propulsion and Alternate Power Generation; GT Operation and Maintenance; Materials and Manufacturing (Including Coatings, Composites, CMCs, Additive Manufacturing); Analytics and Digital Solutions for Gas Turbines/Rotating Machinery, V002T09A006, December 5–6, 2019
Paper No: GTINDIA2019-2434
... of the compressor. The residual of the critical parameters can be calculated by comparing compressor model output with actual plant parameters. The trained artificial neural network (ANN) classifier uses residual of critical parameters to identify the fast rate of compressor fouling in the early stage. Statistical...