Fault diagnosis method for main transmission gear box of high-speed precise strip steel cold-rolling mill

The invention discloses a high-speed precise strip steel cold-rolling mill main transmission gear box fault diagnosis method, which comprises the following steps of: sampling vibration information, and obtaining a feature vector of each section of vibration signal; the method comprises the following steps: establishing a gearbox fault analysis model, establishing a BP neural network model of particle swarm optimization, taking optimal particles after repeated iteration as a weight and a threshold of a BP neural network, and establishing a fault diagnosis model according to the optimal particles; and fault diagnosis: analyzing the vibration signal of the gearbox in operation through the fault diagnosis model to obtain a diagnosis result. By combining signal processing and neural network technologies, state monitoring and fault diagnosis are performed on the gearbox of the main transmission system of the rolling mill, so that the labor cost is saved, the blank in the field of fault diagnosis of rolling mill equ