结果表明：该方法提取的缺陷回波信号特征值，其可分性测度均值达91.7%，从而证明该方法对超声检测缺陷回波信号的特征提取是相当有效的。

The average value of separability measure is as high as 91.7%, which indicates that this method is quite effective in the feature extraction of ultrasonic flaw echoes.

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同时引入基于类可分离性测度的降噪评价准则，实现了对复杂振动信号的降噪效果的评价。

While introducing noise reduction evaluation criteria, which based on class separability measure for noise reduction, this paper evaluated the noise reduction effect of complex vibration signals.

youdao

同时引入基于类可分离性测度的降噪评价准则，实现了对复杂振动信号的降噪效果的评价。

While introducing noise reduction evaluation criteria, which based on class separability measure for noise reduction, this paper evaluated the noise reduction effect of complex vibration signals.

youdao