关键词: 特征提取, 故障诊断, 支持向量机, 多类分类

Abstract: One method of fast feature selection is used in the high dimensional and noisy data of fault diagnosis to reduce the number of its attributes，according to the mean and the square of each feature of data.In this paper，a multi-fault classifier is designed using the technology of Support Vector Machine（SVM） which has the function of pattern classification，based on feature extraction.The example shows that dimensionality reduction and computing complexity reduction are realized by using this method on the basis of achieving good performance of the multi-fault classifier.

Key words: feature selection, fault diagnosis, Support Vector Machine（SVM）, multi-fault classifier