The paper introduces the studying process of the BP network and USES the BP network for the mechanical failure diagnoses as assorted organ in the mode identification.

该文介绍了BP网络的学习过程以及从模式识别角度应用BP神经网络作为分类器进行机械故障诊断。

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Now, intelligence diagnoses system such as specialty system, neural network, and information mixing have been used in the condition monitoring and failure diagnose of hydraulic system.

目前，专家系统、神经网络、以及信息融合等智能诊断系统已广泛的应用于液压系统的状态监测与故障诊断中。

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In the first place, the expert system diagnoses the system in high-level one (the thick grain size) and goes on expert reasoning, for the sake of reducing the failure probability.

即首先由专家系统对系统进行高层次(粗粒度)诊断，进行专家的推理，把故障的可能性缩小。

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