Abstract: A wear monitoring method of a polymer thrust bearing based on an ultrasonic reflection coefficient amplitude spectrum (URCAS), includes: selecting a corresponding delay block probe based on a material of a to-be-tested bearing, and setting corresponding parameters of a pulse generator; after collecting a primary echo from a surface of the delay block probe as a reference signal, placing the delay block probe in a designated region on a back of the to-be-tested bearing, and collecting time-domain echo signals from upper and lower surfaces of the bearing; establishing a propagation model of an ultrasonic signal in a polymer bearing, and calculating a theoretical URCAS based on the propagation model; calculating a measured URCAS; and constructing an objective function, and solving the objective function by using a differential evolution algorithm. A plurality of parameters of the polymer bearing is solved to meet a requirement for wear monitoring by adopting the method.

Abstract: A wear monitoring method of a polymer thrust bearing based on an ultrasonic reflection coefficient amplitude spectrum (URCAS), includes: selecting a corresponding delay block probe based on a material of a to-be-tested bearing, and setting corresponding parameters of a pulse generator; after collecting a primary echo from a surface of the delay block probe as a reference signal, placing the delay block probe in a designated region on a back of the to-be-tested bearing, and collecting time-domain echo signals from upper and lower surfaces of the bearing; establishing a propagation model of an ultrasonic signal in a polymer bearing, and calculating a theoretical URCAS based on the propagation model; calculating a measured URCAS; and constructing an objective function, and solving the objective function by using a differential evolution algorithm. A plurality of parameters of the polymer bearing is solved to meet a requirement for wear monitoring by adopting the method.