Abstract: A fractional weighted wavelet transform（FRWWT） based infrared image denoising algorithm is proposed for the problem that infrared images of power equipment in infrared power equipment inspection system have strong noise. This algorithm constructs a weighted wavelet with better disappearance moment, tight support and decay as the basis function of fractional order wavelet transform through subdivision scheme. The infrared image of power equipment is decomposed in multiple scales, and the fractional wavelet coefficient is estimated by using the noise component in the removal coefficient by threshold value processing, and the coefficient is reconstructed to obtain the image after noise removal. The experimental results show that the proposed algorithm has better denoising effect and practical value than weighted median filter, fractional wavelet threshold filter and mean filter.