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The axial piston pump usually works under variable speed conditions.It is important to evaluate the health status of the axial piston pump under the variable speed condition.Aiming at the charac-teristic signals obtained under different wear levels of the port plate, a feature signal extraction meth-od under variable speed conditions is proposed.Firstly, the combination of complete ensemble em-pirical mode decomposition with adaptive noise ( CEEMDAN) energy spectrum and fast spectral kur-tosis principle is used to accurately extract the intrinsic mode function ( IMF) component containing the sensitive information of the degraded feature.Then, the aspect ratio analysis method of the angle domain variational mode decomposition ( VMD) is used to process the feature index containing the sensitive information of the degraded feature.In order to evaluate the health status of the axial piston pump under variable speed, the vibration reliability analysis method for axial piston pump based on Weibull proportional failure rate model is proposed.The experimental results show that the proposed method can accurately evaluate the health status of the axial piston pump.