| 基于信息融合的船舶机电设备故障诊断 |
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| 引用本文： | 张晓东,张振中,胡明.基于信息融合的船舶机电设备故障诊断[J].船舶工程,2007,29(3):44-46. |
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| 作者姓名： | 张晓东 张振中 胡明 |
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| 作者单位： | 海军工程大学,武汉,430033;驻上海711研究所军事代表室,上海,200031 |
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| 摘 要： | 对船舶机电设备故障进行了分析,指出故障诊断必须从多类数据中寻找隐藏的信息,进而提出了对于观测数据运用模糊聚类方法进行信息融合,寻找故障模式.算例证明方法有一定的效果.
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| 关 键 词： | 船舶 船舶机电设备 故障诊断 模式识别 模糊聚类 信息融合 |
| 文章编号： | 1000-6982（2007）03-0044-03 |
| 收稿时间： | 2006/6/30 0:00:00 |
| 修稿时间： | 2006-06-302006-09-18 |
Fault diagnosis of marine mechanical and electrical equipment based on information fusion |
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| ZHANG Xiao-dong,ZHANG Zhen-zhong,HU Ming.Fault diagnosis of marine mechanical and electrical equipment based on information fusion[J].Ship Engineering,2007,29(3):44-46. |
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| Authors: | ZHANG Xiao-dong ZHANG Zhen-zhong HU Ming |
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| Institution: | 1. Naval Engineering University, Wuhan 430033, China; 2. The Naval Representative Office Stationed at No. 711 Institute, CSIC, Shanghai 200031, China |
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| Abstract: | The paper analyzes the fault of marine mechanical and electrical equipment,points out that diagnosing fault should search hidden information from many kinds of data and puts forwards that information fusion and searching fault mode are done to observe data by fuzzy clustering method. The validity is verified by the examples of calculation. |
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| Keywords: | ship marine mechanical and electrical equipment fault diagnosis mode identification fuzzy clustering information fusion |
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