Artificial Neural Networks Based Pollution Location Diagnosis for Heating Surfaces of Utility Boilers
Wang Guangjun, Luan Xiuchun
The paper proposes a new method of utility boiler pollution location diagnosis on the basis of artificial neural networks, which sets up a neural networks based diagnosis model for pollution location, using the gas temperature of different heating surfaces exits as feature parameter. It is indicated that this model can effectively diagnose the pollution location of heating surfaces of utility boilers by results of simulating test.
【CateGory Index】： TK39