This effect of envelope spectrum analysis applied to fault diagnosis of equipment parts damage is verified by the example of rolling bearing fault diagnosis.

通过对滚动轴承故障诊断的实例分析，验证了包络谱分析运用于诊断设备零件损伤故障所取得的效果。

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The multifractal features are extracted from the vibration signals of different spots on reciprocating compressor using the improving arithmetic, the general dimension spectrum of bearing.

采用多重分形改进算法提取往复压缩机振动信号的多重分形特征，得到了轴承故障的广义维数谱。

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Therefore, it is an important way to analysis the signal spectrum and determine the type of bearing defects in the study of bearing vibration signals for fault diagnosis.

因此，在对轴承振动信号进行故障诊断的研究中，对信号进行频谱分析，判断轴承缺陷的类型是一种重要方法。

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It begins with a history of the science and the growing realisation that the information-bearing power of the electromagnetic spectrum the range of frequencies and wavelengths available to carry signals is without practical limit.

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