| 基于灰色熵权聚类决策的机械故障诊断 |
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| 引用本文： | 李爱民,刘国庆.基于灰色熵权聚类决策的机械故障诊断[J].舰船科学技术,2011,33(7). |
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| 作者姓名： | 李爱民 刘国庆 |
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| 作者单位： | 1. 海军工程大学船舶与动力学院,湖北武汉,430033
2. 92538部队,辽宁大连,116041 |
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| 摘 要： | 提出了基于灰色熵权聚类决策的机械故障诊断方法,运用信息熵思想确定了聚类指标的权值,运用SOM神经网络确定了各灰类区间的阀值,给出了相应的白化权函数,并用1个典型算例进行了验证,表明这种方法切实可行。
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| 关 键 词： | 灰色熵权聚类 白化权函数 机械故障诊断 |
Study on machine fault diagnosis based on grey entropy weight clustering decision-making |
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| LI Ai-min,LIU Guo-qing.Study on machine fault diagnosis based on grey entropy weight clustering decision-making[J].Ship Science and Technology,2011,33(7). |
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| Authors: | LI Ai-min LIU Guo-qing |
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| Institution: | LI Ai-min1,LIU Guo-qing2(1.College of Naval Architecture and Power,Naval University of Engineering,Wuhan430033,China,2.Unit No.92538 of PLA,Dalian116041,China) |
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| Abstract: | The method for machine fault diagnosis based on grey entropy weight clustering decision-making was advanced.Firstly,the weights of clustering indexes were calculated through the idea of information entropy.Then,threshold of different grey clustering region was given by SOM neural network,at the same time weight function of whitenization was given.Finally,the method was proved by a representative example.The result show that the method is feasible. |
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| Keywords: | grey entropy weight clustering weight function of whitenization machine fault diagnosis |
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