Fault diagnosis based on neural net for air-source heat pump units

From the traditional diagnosis technology, a fault diagnosis based on BP model neural network is established for the air source heat pump unit, and then it is trained by typical fault samples from simulation experiment and expert knowledge. It needn't set up a complicated mathematical model and a complicated mathematical calculation and data processing. All you need do is to select enough typical fault samples to train the neural network. The simulation results show that once the neural network training has finished, the output of neutral net is well corresponding to expected results, and the fault diagnosis for air source heat pump unit based on neural network is very effective.