The Infrared Mode of Heating-Radiator Based on BP Neural Network

There have some error in detecting the surface temperature of heating-radiator leading to the inaccuracy of failure detection and diagnosis.With the BP neural network,an infrared mode of heating-radiator is building based on six input values and one output value.After 280 groups of data training and verification,the surface temperature of heating-radiator from the infrared thermal imager is modified and a good result is obtained.It lays a foundation for the quantitative analysis of the infrared imaging technology detecting heating-radiator fault.