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将分形维数用于刻划滚动轴承在不同故障状态下表现的非线性行为，进而对故障分类。试验结果表明，滚动轴承振动信号在不同故障状态下的分形维数是不同的，可以将分形维数作为识别滚动轴承故障的特征量。
The fractal dimension is used to characterize the nonlinear behavior of the rolling bearing under different fault conditions, and then to classify the fault. The experimental results show that the fractal dimension of the vibration signal of rolling bearing under different fault conditions is different, and the fractal dimension can be used as the feature to identify the fault of rolling bearing.