从特征信号提取的角度出发，采用局域波时频分析和信息熵结合的方法进行往复式压缩机故障诊断。
In the view of feature signal extraction, the local wave time-frequency analysis and information entropy were used to deal with fault diagnosis.
由于时频分析方法能同时提供振动信号的时域和频域信息，因而在滚动轴承故障诊断中应用最为广泛。
The time-frequency analysis method is widely applied to rolling bearing fault diagnosis due to it can simultaneously provide time and frequency domain information of a signal.
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