| 基于组合RBF网络的故障诊断方法及应用研究 |
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| 引用本文： | 王长琼. 基于组合RBF网络的故障诊断方法及应用研究[J]. 计算机工程与应用, 2001, 37(14): 13-14 |
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| 作者姓名： | 王长琼 |
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| 作者单位： | 武汉理工大学机械与材料工程学院 |
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| 基金项目： | 交通部重点科技项目资助（编号：95－04－03－05） |
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| 摘 要： | 针对一般的神经网络诊断方法不具备渐进学习能力、易发生漏诊或误诊的问题，研究了一种组合 ＲＢＦ网络结构以及基于这种组合网络的故障诊断方法；诊断实例表明，该诊断方法能识别异常类故障，具有渐进学习能力。
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| 关 键 词： | 神经网络 RBF网络 故障诊断 渐进学习 |
| 文章编号： | 1002-8331-(2001)14-0013-02 |
| 修稿时间： | 2001-02-01 |
Research on a Method of Fault Diagnosis Based on Composite RBF-Network with its Application |
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| Wang Zhangqiong. Research on a Method of Fault Diagnosis Based on Composite RBF-Network with its Application[J]. Computer Engineering and Applications, 2001, 37(14): 13-14 |
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| Authors: | Wang Zhangqiong |
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| Abstract: | Generally,diagnosis based on neural network is lacking of incremental learning and easily makes a wrong or leak diagnosis.The paper studies a composite RBF-network and a diagnosis approach based on the composite RBF-net-work.An example of diagnosis indicates that the diagnosis system can detect and recognize a novel fault,and can learn incrementally. |
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| Keywords: | neural network RBF network fault diagnosis incremental learning |
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