| 系统故障诊断的一种神经网络方法 |
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| 引用本文： | 何佳洲 周志华. 系统故障诊断的一种神经网络方法[J]. 计算机工程与应用, 1999, 35(6): 49-52 |
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| 作者姓名： | 何佳洲 周志华 |
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| 作者单位： | 南京大学计算机软件新技术国家重点实验室!南京２１００９３ |
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| 摘 要： | 该文首先提出一个通用故障示例模型，然后运用一种自适应神经网络学习算法来寻找差错属性与故障类型之间的对应关系，由此对故障进行诊断。因为网络的结构事先并不确定，而是在训练的同时进行同步构造，所以确保了训练后建立网络具有较好的适应性。
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| 关 键 词： | 故障诊断 神经网络 单层学习算法 |
A Neural Network Method for System Fault Diagnosis |
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| He Jia zhou, Zhou Zhihua, Chen Zhe qian. A Neural Network Method for System Fault Diagnosis[J]. Computer Engineering and Applications, 1999, 35(6): 49-52 |
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| Authors: | He Jia zhou Zhou Zhihua Chen Zhe qian |
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| Abstract: | In this Paper we first present an instance model of system faults, and then use an adaptive neural network learning algorithm to diagnoses the faults by discovering the mapping betWeen errors and types of malfunction. Since the network structure is not fixed a prior, it is subject to building while learning. Therefore, aftertraining,the architecture of the network is guaranteed to be well adapted for a given system. |
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| Keywords: | Fault diagnosis Neural network and Single-layer learning algorithm |
| 本文献已被 CNKI 维普 等数据库收录！ |
