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In this paper, the feature extraction and fault diagnosis of an aeroengine vibration signal are carried out based on nonlinear squeezing time-frequency transform. Nonlinear squeezing time-frequency transform can enhance the characterization of weak signal features because of its amplitude-independence, and it can improve the energy concentration of the time-frequency representation at the same time. In this paper, the ground test of an aeroengine is carried out, and the vibration signals of each measuring point are obtained by the data acquisition device. Then, the vibration signals collected are analyzed by nonlinear squeezing time-frequency transform and other signal analysis methods. Finally, combined with the structure of the aeroengine and the theoretical knowledge, the excluding and guessing of possible fault modes are realized, and the effectiveness and practicability of nonlinear squeezing time-frequency transform in the analysis of the actual aeroengine test signal are verified.