| 舰船装备故障诊断特征知识获取方法研究 |
| |
| 引用本文： | 杨广,吴晓平.舰船装备故障诊断特征知识获取方法研究[J].船舶工程,2009,31(1). |
| |
| 作者姓名： | 杨广 吴晓平 |
| |
| 作者单位： | 1. 海军工程大学,信息安全系,武汉,430033;镇江船艇学院,船艇工程系,镇江,212003
2. 海军工程大学,信息安全系,武汉,430033 |
| |
| 摘 要： | 将粗糙集理论引入到舰船装备故障诊断特征知识获取,提出一种基于粗糙集理论的舰船装备故障诊断特征知识获取模型.该模型从包含冗余和不一致信息的原始数据出发,构建决策表,通过属性约简和属性值约简获取故障诊断的最小约简属性集和诊断规则,并建立诊断规则知识库.实例分析表明:在保持故障诊断分类结果的情况下,该方法可以提取出最能反映故障的特征,并能有效地解决舰船装备故障诊断中规则获取的知识冗余或缺失问题,从而为粗糙集在舰船装备故障诊断中的深入应用打下基础.
|
| 关 键 词： | 舰船装备 故障诊断 粗糙集 特征知识获取 |
Study on the feature knowledge acquisition method of ship equipment fault diagnosis |
| |
| YANG Guang,WU Xiao-ping.Study on the feature knowledge acquisition method of ship equipment fault diagnosis[J].Ship Engineering,2009,31(1). |
| |
| Authors: | YANG Guang WU Xiao-ping |
| |
| Institution: | YANG Guang1,2,WU Xiao-ping1(1. Department of Information Security,Naval University of Engineering,Wuhan 430033,China,2. Department of Watercraft Engineering,Zhenjiang Watercraft College,Zhenjiang 212003,China) |
| |
| Abstract: | The rough set theory is introduced into the feature knowledge acquisition of ship equipment fault diagnosis. The feature knowledge acquisition model of ship equipment fault diagnosis based on rough set theory is put forward. According to the inconsistent and redundant original information, the decision table is formed and the fault attributes and the attributes' values are reduced based on rough set theory. Finally the minimum reduced attributes set and diagnosis rules database are established. A practical ... |
| |
| Keywords: | ship equipment fault diagnosis rough set feature knowledge acquisition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《船舶工程》浏览原始摘要信息 |
| 点击此处可从《船舶工程》下载免费的PDF全文 |
|
