[1]杨建刚,高,曹祖庆,等.集成旋转机械故障诊断的知识表示与推理[J].东南大学学报(自然科学版),1995,25(3):72-78.[doi:10.3969/j.issn.1001-0505.1995.03.014]
 Yang Jiangang,Gao Wei,et al.An Integrated Knowledge Representation and Inference for Rotating Machinery Fault Diagnosis[J].Journal of Southeast University (Natural Science Edition),1995,25(3):72-78.[doi:10.3969/j.issn.1001-0505.1995.03.014]
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集成旋转机械故障诊断的知识表示与推理()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
25
期数:
1995年第3期
页码:
72-78
栏目:
自动化
出版日期:
1995-05-20

文章信息/Info

Title:
An Integrated Knowledge Representation and Inference for Rotating Machinery Fault Diagnosis
作者:
杨建刚曹祖庆戴德成
东南大学动力工程系; 东南大学数力系
Author(s):
Yang Jiangang; Gao Wei; Cao Zuqing Dai Decheng Dai Decheng
Department of Power Engineering, Southeast University, Nanjing 210018
Department of Mathematics, Southeast University, Nanjing 210018
关键词:
故障诊断 不分明集 学习系统 神经网络
分类号:
TP277
DOI:
10.3969/j.issn.1001-0505.1995.03.014
摘要:
本文提出了一种新的基于规则和神经网络集成的智能旋转机械故障诊断方法,该法把专家经验和故障样本以统一的分布表示形式组织到知识库中,并在此基础上提出了推理算法的自学习选取。整个系统充分发挥了规则系统和神经网络的优点,具有知识表示明确、并行推理、联想和自学习等优点,最后结合实例进行了分析。

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更新日期/Last Update: 2013-04-15