关键词: 故障诊断, 支持向量机（SVM）, 离散余弦亦换（DCT）, 高频抑制

Abstract: Aiming at the problem of too high dimension of sample data leading to too much SVM studies in the researches of fault diagnose，This paper proposes a new SVM fault diagnose method based on DCT，using the “energy compaction” and “high frequency suppression” features of DCT，which used in the process of image compression.At first，reduce the dimension of fault samples in light of the method of DCT.Secondly，train the main coefficients of DCT instead of the original samples using SVM so as to restrain the effect of noise for fault classification greatly，and reduce the computation in the process of diagnosis.Finally，the validity of the algorithm is proved by experiment simulation.

Key words: fault diagnose, Support Vector Machine（SVM）, Discrete Cosine Transform（DCT）, high frequency suppression