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神经网络的多故障诊断层次模型研究
引用本文:万正彪,关治洪,廖锐全. 神经网络的多故障诊断层次模型研究[J]. 三峡大学学报(自然科学版), 2002, 24(6): 533-536
作者姓名:万正彪  关治洪  廖锐全
作者单位:华中科技大学,控制科学与工程系,武汉,430074
基金项目:国家自然科学基金资助 (60 1 740 4 4 )
摘    要:人工神经网络已成功应用到实际的故障诊断系统中,但大多主要用于单故障诊断情形。实际应用中,多故障同时出现的情况却普遍存在。基于神经网络的方法,构造了一种用于既能诊断单故障,又能诊断多故障的模型。通过实例与传统的诊断模型进行对比,说明了所提出诊断模型的可行性和有效性。

关 键 词:人工神经网络 多故障 诊断模型
文章编号:1007-7081(2002)06-0533-04

Research on Hierarchical Model for Multipe Faults Diagnosis Based on Artificial Neural Network
Wan Zhengbiao Guan Zhihong Liao Ruiquan. Research on Hierarchical Model for Multipe Faults Diagnosis Based on Artificial Neural Network[J]. Journal of China Three Gorges University(Natural Sciences), 2002, 24(6): 533-536
Authors:Wan Zhengbiao Guan Zhihong Liao Ruiquan
Abstract:Artificial neural network(ANN)has been successfully applied to fault diagnosis systems in real world applications;however,which is mostly used for diagnosing single fault.The simultaneous emergence of multiple faults occurs commonly in practice.In this paper,on the basis of neural network,a diagnosis model is presented for diagnosing not only single fault but also multiple faults In addition,an example is given to demonstrate the feasibility and validity of the proposed model by comparing it with the traditional diagnosis model
Keywords:artificial neural network  multiple faults  diagnosis model  
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