To solve the problem of noise in the ceramic percussion detection signal, a denoising method combining VMD optimization and wavelet packet denoising (WPD) was proposed. Firstly, the energy starting point detection criterion extracted the effective information of the actual signal; Secondly, the genetic algorithm (GA) selected the VMD parameters to adaptively decomposed with the noise signal. Then, by calculating the correlation coefficient of each modal component with the original signal, they were divided into the main signal component and the noise component. Finally, the main signal component was de-noised by wavelet packet analysis. And the information is reconstructed to obtain the original signal. The simulation experiment proves that the method has the highest signal to noise ratio (23.81dB, 24.75dB) and the lowest mean square error (0.07, 0.01) when adding 10dB and 20dB noise, respectively, and the denoising effect is significantly improved compared with usual denoising methods. The test experiments of ceramic specimen percussion detection signals show that the method can remove the noise of different types of ceramic percussion detection signals effectively and has good denoising performance.