The traditional signal processing method is difficult to extract the fault features

and the great difficulty is brought to gearbox fault diagnosis.The gray neural network model is established for fault diagnosis of gearbox

the results validating the diagnostic results model with high accuracy

and the nonlinear characteristic of fault signal is suit to extract.A fast and efficient way to gearbox fault diagnosis is provided in theory.