本文利用高斯小波进行解包络分析,提取包络分析的时域特征参数。对特征参数进行模糊处理和隶属度计算,在此基础上设计出故障特征向量,进行灰色关联度分析,从而把包络解调分析、模糊数学和灰色关联分析有机结合在一起,综合它们的优势,进行故障分类和识别,为机械设备的故障诊断提供一条新的思路 In this paper, the Gaussian wavelet is used to solve the envelope analysis and extract the time-domain characteristic parameters of the envelope analysis. The feature parameters are processed fuzzy and the membership degree is calculated. Based on this, the fault eigenvectors are designed and the gray relational degree is analyzed, so that the envelopment and demodulation analysis, fuzzy mathematics and gray relational analysis are combined organically to synthesize their advantages , Carries on the breakdown classification and the recognition, provides a new mentality for the mechanical equipment breakdown diagnosis