Research On Damage Modeling And Diagnostic Feature Extraction Method Of Swing Bearings

Rolling bearing are critical components of the equipment transmission system,and the fault-free operation of rolling bearing is very important to ensure the safe operation of equipment,so the rolling bearing is the key object of equipment fault diagnosis.However,in the past,the research on the fault diagnosis technology of rolling bearing is mainly aimed at the continuous rotating bearing,but rarely involved swing bearing.Swing bearing is widely used in aerospace emission tower swivel systems,wind turbines pitch and yaw systems,tunnel trays and tower cranes.Special low speed reciprocating mode makes the Fault signal of the swing bearing does not have periodicity,the number of injuries in a certain period of time is less,the fault signal is weak,and the diagnosis is difficult.Therefore,based on the fault model of swing bearing,this paper studies the method of fault signal separation and diagnosis feature extraction of swing bearing.The main research contents include:(1)The damage impact phase of swinging bearing is analyzed.Through the comparative analysis of the damage response of the whole-cycle running bearing and the swing bearing,the fault simulation model of the swing bearing is established,which provides the theoretical basis and simulation verification data for the following research.(2)A method for separating the fault envelope signal of the swing bearing is proposed,which can separate the fault envelope signal according to the swing period,and the effectiveness of the method is verified by the simulation signal,which lays a foundation for the research of fault enhancement detection method.(3)A fault signal enhancement detection method of swing bearing based on autocorrelation ensemble average of separated signals is proposed.The simulation results show that the method can effectively extract the fault features of the swing bearing and quickly identify the fault feature signal of the swing bearing.(4)The fault simulation experiment of swing bearing is carried out,and the fault signal separation and enhanced detection feature extraction method proposed in this paper is verified by the measured signal.The above research work can provide technical foundation for the state monitoring and fault diagnosis of swing bearings.