In view of the model adaptability and the difficulty of index quantifying for reciprocating compressor bearings performance degradation evaluation,a performance degradation evaluation algorithm was proposed based on singular spectrum distribution and kernel-based fuzzy C-means clustering method (KFCM).The multifractal singular spectrums (MSS) was extracted by using variation mode decomposition (VMD),the evaluation model combined with KFCM and binary tree SVM was established after denoised through singular value decomposition,and a complete bearings performance degradation evaluation process was given;compressor bearing wear fault simulation and algorithm comparative analysis were carried out.The results show that by using this method,the sliding bearing wear failure performance degradation degree can be effectively evaluated.