Fault diagnosis of the steam turbine condenser system based on SOM neural network

摘要

The condenser system is one of the most important and complicated steam turbine thermodynamic systems. The SOM (self-organizing map) neural network is applied to fault diagnosis of the system, which is implemented by the neural network toolbox in MATLAB. The method for fault diagnosis of the condenser system is effective and it has been verified by simulation results.