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For telemetry vibration signal in the frequency domain has characteristics of complex composition, nonlinear and non-stationary, as well as strong noise, a telemetry vibration signal detection method based on adaptive multi-scale time-frequency entropy was proposed. Firstly, the collected telemetry vibration signal was zero drift amended and eliminated the trend term. Secondly, adaptive signal decomposition method was used to multi-scale decompose the signal to obtain a number of components, and the correlation coefficient was used to remove the false component; Thirdly, the time-frequency distribution was calculated by the screening component, and divided multi-layer and multi-scale, then the fractal dimension of the corresponding scale band signal was calculated to determine the divided scale of each frequency band adaptively; Finally, the adaptive multi-scale time-frequency entropy was calculated, then the abnormal telemetry vibration signal was detected through the changes of Time-frequency entropy. and measured data demonstrate the effectiveness of this method.