Abstract: A wire rope damage identification method based on adaptive displacement average noise reduction and BP neural network was proposed to solve the problem of wire rope damage recognition under the background of strong noise.Taking the mining wire rope as an example, firstly, the adaptive moving average method was used to denoise the broken wire signal and wear signal, and the optimal window width of the moving average algorithm was found through the adaptive particle swarm optimization (APSO); Then, taking the broken wire damage as an example, three eigenvalues of the output optimal noise reduction signal were extracted as eigenvalue samples: peak to peak value, wave width and area under waveform. The samples were normalized and put into BP neural network for damage identification; Finally, the effectiveness of the proposed method was verified by experiments. The experimental results show that this method can qualitatively identify the wire rope damage, and the recognition accuracy is high.