| BP神经网络在故障字典快速定位中的应用 |
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| 引用本文：孟亚峰，韩春辉，朱赛.BP神经网络在故障字典快速定位中的应用[J].计算技术与自动化,2013,(3):11-15 |
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| 中文摘要:故障字典法是一种很实用的故障诊断方法，但对于大规模、复杂电路，故障字典庞大，故障搜索速度影响了实时诊断效率。提出一种将规模较大故障字典分解为多个子故障字典，采用BP神经网络组织其搜索索引的方法。该方法利用BP神经网络能够精确描述输入数据与目标数据之间的映射关系的能力，组织多个BP神经网络组成多层的二叉树索引结构。通过该索引，大大缩小了故障查找范围，提高了搜索速度，提高了实时诊断的效率。 |
| 中文关键词:子故障字典 BP神经网络 故障搜索 二叉树 |
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| Applying in Quickly Locating in Fault Dictionary of the BP Neural Network |
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| Abstract:Fault dictionary method is a kind of very practical fault diagnosis method. But large scale and complex circuits, the fault dictionary is huge, and the speed of fault searching affects the efficiency of real-time diagnosing. In this paper, a new method that the faults are classed and many son fault dictionaries are built with BP nerve networks organize the search index is introduced. This method using the BP nerve network’s ability that could accurately describe the relation between input data and corresponding goal organizes the index in a multilayer binary tree with many BP nerve networks. Through this index, the seeking scope is reduced greatly, the searching speed is raised, and the efficiency of real-time diagnosing is improved. |
| keywords:son fault dictionary BP neural network fault search binary tree |
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