The misalignment fault model building for rotating machinery rotor based on BP network

BP neural network has successful experience in dealing with both mechanical diagnosis and recognition. This article introduces the use of the BP network in nonlinear mapping to diagnose and recognize the rotor of blower as well as the method of neural network diagnostic and BP algorithm. The test of the network show that the result is satisfactory and it has very important significance and good application prospect on the recognition of the rotating machinery rotor misalignment fault.