The diagnosis of compound fault is always a difficult point, and there is not an effective method in equipment diagnosis field.

在设备故障诊断领域，复合故障的诊断一直是一个难点，缺乏行之有效的诊断方法。

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According to the compound vibration fault attribute, a method of compound vibration fault diagnosis based on information fusion and neural networks is proposed.

依据复合故障特性，提出了一种基于信息融合与神经网络的复合振动故障诊断方法。

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Then the optimal compound feature is searched by GP in the statistics and operators library. The compound feature is taken as classifier of fault diagnosis.

将优化得到的复合特片作为故障识别的分类器，并根据不同的检测环境，选取不同的终端符集，从而降低检测环境对诊断结果的影响。

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