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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根据特征模式复杂性，可分为频繁项模式、频繁序列模式以及频繁子树模式等。

According to the complexity of pattern, the mined characteristic patterns could be sorted as frequent item, frequent sequence and frequent sub tree, etc.

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类别可分性判据对缺陷信号的特征提取也起了定量衡量尺度的作用。

And the sort separability criterion can also play the role of being a quantification measure on the characteristic extracting of flaw signals.

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