Fault diagnosis of vibrating screen exciter based on screen box attitude analysis

Since it is difficult to accurately identify the minor fault of the early unbalanced exciting force fault of the linear vibrating screen, a fault diagnosis method based on the operating attitude of the screen box is proposed. Firstly, the dynamic analysis of the vibration system of the double axis linear shale shaker is carried out. Based on ADAMS environment, the dynamic simulation model of the double axis linear shale shaker is established, and six kinds of dynamic models of exciter failures are simulated to study the motion law of the screen box under the unbalanced excitation force failure. Further, the simulation analysis and field experiment of each fault dynamic model are carried out, and different fault data are trained and analyzed through the ELM neural network diagnosis algorithm. A set of attitude data acquisition system for the screen box of double axis linear vibrating screen is designed. The results show that the fault of the phase angle of the exciter can be diagnosed by detecting the screen box attitude.