介绍了一种基于神经网络的滚动轴承故障包络信号的自动识别方法。
An automatic recognition method based on the BP neural network for the envelope signal of the rolling bearing is presented.
再通过对振动包络信号进行频谱分析就可以对轴承的故障类型作出判定。
Finally the failures are diagnosed by envelope spectrum analysis of the envelope signals.
利用希尔伯特变换求舰船噪声的包络谱，对舰船噪声的包络信号进行分析，并提取了四个特征量。
With Hilbert transform, the envelop spectrum of the signals radiated from ships was obtained. The ship radiated noise is analyzed and its 4 features are extracted from the envelop spectrum.
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