Faults in regenerative heat system of the power plant have been analysed

and a new fault diagnosis model based on levenbergMarquardt (LM) neural network for regenerative heat system being put forward. The LM algorithm is a combination of the gradient decent algorithm with the GaussNewton algorithm. Results of simulation show that the new model has greatly reduced the training time and the tracking error

having very high accuracy

being more superior than traditional BP neural network algorithm model

and suitable for online training and monitoring.