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利用包络分析结合小波变换抽取强背景噪声下滚动轴承振动信号中的故障信息，对滚动轴承早期故障进行诊断，对五套３０７号轴承进行的成功诊断表明，提出的方法准确有效，适用于滚动轴承的在线监测与诊断。
Using envelope analysis and wavelet transform to extract the fault information of the rolling bearing vibration signal under strong background noise to diagnose the early failure of the rolling bearing, the successful diagnosis of five sets of 307 # bearing shows that the proposed method is accurate and effective and suitable for online rolling bearing online Monitoring and diagnosis.