The invention discloses a leakage acoustic wave feature extraction method based on fusion of wavelet transform and the blind source separation algorithm. The method comprises the following steps that an acoustic wave sensor is used for collecting leakage acoustic wave signals and acquiring leakage acoustic wave collection signals; multilayer wavelet decomposition is carried out on the leakage acoustic wave collection signals through wavelet transform, corresponding approximate signals are sequentially obtained through all layers of wavelet decomposition, the leakage acoustic wave collection signals and the approximate signals are used as observation signals, and the observation signals are processed through the blind source separation algorithm to obtain target signals; and the target signals obtained in the second step are evaluated, and compositions of the observation signals are optimized. The method has the beneficial effects that the target signals are evaluated through two evaluation parameters, namely leakage moment sampling point deviation and amplitude loss; by means of the method, the leakage moment can be accurately determined, and meanwhile the compensation effect on the leakage amplitude of weak signals is obvious.