Condition based management of gas turbine engine using neural networks
Date of Issue2005
School of Mechanical and Aerospace Engineering
This research work is focused on the development of the hybrid neural network model to asses the gas turbine’s compressor health. Effects of various gas turbine compressor performance recovery methods like on-line washing, off-line washing and manual inlet guide vane cleaning are analyzed to segregate the recoverable and non-recoverable losses. The developed hybrid neural network model is used to analysis the above losses and suggest appropriate compressor washing schedule to run the gas turbine at its maximum efficiency.
DRNTU::Engineering::Mechanical engineering::Motors, engines and turbines
Nanyang Technological University