Fault diagnosis method for rolling bearing under variable working conditions and complex noise environment

The invention discloses a fault diagnosis method for a rolling bearing in a variable working condition and complex noise environment. The fault diagnosis method comprises two steps of obtaining a fault diagnosis algorithm model by using a historical data set and processing real-time vibration data and inputting the processed real-time vibration data into the algorithm model for diagnosis to obtain a fault condition of the rolling bearing. The method has the advantages of low artificial experience requirement, low loss rate and the like. 本发明公开了一种变工况和复杂噪音环境下滚动轴承的故障诊断方法包括利用历史数据集获得故障诊断算法模型和将实时振动数据处理后输入算法模型进行诊断得到滚动轴承故障情况两个步骤。本发明方法具有人工经验要求低、损失率低等优点。