【Key words】 transient signal； feature extraction； Hibert-Huang Transform； multi-classifier fusion；
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multi-classifier results fusion 多分类器结果融合
In order to improve the aviation structure's damage identification accuracy and rate, a multi-agent decision fusion based on the mutual information classifier selection is proposed in this paper.
为了提高航空结构的损伤识别精度和速度，提出了一种基于互信息分类器选择的多主体决策融合方法。
By experiments, the method can be used as classifier when the multi-parameters are dynamic correlation, and it has special use in the field of information fusion.
通过若干应用例子测试表明，该方法适用于具有多元动态相关特征问题的分类，在信息融合领域中有独到的用处。
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