[1]何永勇,钟秉林,黄仁.基于人工神经网络的旋转机械多故障同时性诊断策略[J].东南大学学报(自然科学版),1996,26(5):39-43.[doi:10.3969/j.issn.1001-0505.1996.05.008]
 He Yongyong,Zhong Binglin,Huang Ren.Multiple Fault Simultaneous Diagnosis Based on Artificial Neural Networks for Rotating Machine[J].Journal of Southeast University (Natural Science Edition),1996,26(5):39-43.[doi:10.3969/j.issn.1001-0505.1996.05.008]
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基于人工神经网络的旋转机械多故障同时性诊断策略()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
26
期数:
1996年第5期
页码:
39-43
栏目:
自动化
出版日期:
1996-09-20

文章信息/Info

Title:
Multiple Fault Simultaneous Diagnosis Based on Artificial Neural Networks for Rotating Machine
作者:
何永勇钟秉林黄仁
东南大学机械工程系
Author(s):
He Yongyong Zhong Binglin Huang Ren
Department of Mechanical Engineering, Southeast University, Nanjing 210018
关键词:
人工神经网络 故障诊断 旋转机械
分类号:
TP206.3
DOI:
10.3969/j.issn.1001-0505.1996.05.008
摘要:
针对大型旋转机械多故障同时性诊断问题,基于人工神经网络,构造了一种由多个子网络组成的分级诊断网络(HDANN).该网络旨在将一个大的分类模式空间划分为几个小的子空间,以便对各子网络进行有效的训练,提高各子网络的分类能力,从而使整个网络具有高精度的多故障同时性诊断能力.测试结果表明:HDANN网络不仅能准确地对单故障进行诊断,而且多故障同时存在的情况下,也能有效地识别出各种故障,该网络具有较高的诊断精度,可用于旋转机械工况实时监测和诊断场合..

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备注/Memo

备注/Memo:
国家自然科学基金 ,江苏省应用科学基金
更新日期/Last Update: 2013-04-15