结果表明，多特征信息融合的目标识别方法具有良好的稳定性，准确性和可靠性，能够有效地提高图象分类识别系统的精确度与容错性。
The final results indicate that the Multi-feature fusion method is stable, reliable, and can efficiently improve the accuracy and the ability of fault tolerance.
管道泄漏声发射信号既携带结构的某些特征信息（泄漏孔大小和位置等） ，同时又有很大的随机性和不确定性，属于一种非平稳随机信号。
The AE signals of pipeline leak carry the information of structure integrity (the dimension and location of leak), which are random and uncertain, and belong to non stationary signals.
管道泄漏声发射信号既携带结构的某些特征信息（泄漏孔大小和位置等） ，同时又有很大的随机性和不确定性，属于一种非平稳随机信号。
The AE signals of pipeline leak carry the information of structure integrity (the dimension and location of leak), which are random and uncertain, and belong to non stationary signals.
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