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| 基于粗糙集的船舶主机轴系故障诊断 | |
| 引用本文： | 陈小卫,张鹏飞,王新政,丁勇鹏.基于粗糙集的船舶主机轴系故障诊断[J].舰船科学技术,2012(4):47-50,56. |
| 作者姓名： | 陈小卫 张鹏飞 王新政 丁勇鹏 |
| 作者单位： | 1. 海军航空工程学院,山东烟台,264001 2. 91872部队,北京,102442 3. 92074部队,浙江宁波,315021 |
| 摘 要： | 船舶主机轴系的故障诊断对船舶正常航运具有重要意义.将粗糙集理论应用到船舶主机轴系故障诊断中,建立了基于粗糙集的船舶主机轴系故障诊断模型.采用NaiveScaler方法对故障数据离散化处理,利用基于属性重要度的启发式算法进行属性约简,获取故障诊断相关规则.算例验证了该模型的有效性. |
| 关 键 词： | 船舶主机 故障诊断 粗糙集 离散化 属性约简 |
Marine main engine shafting fault diagnosis model based on rough set |
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| CHEN Xiao-wei , ZHANG Peng-fei , WANG Xin-zheng , DING Yong-peng.Marine main engine shafting fault diagnosis model based on rough set[J].Ship Science and Technology,2012(4):47-50,56. | |
| Authors: | CHEN Xiao-wei ZHANG Peng-fei WANG Xin-zheng DING Yong-peng |
| Institution: | 1.Naval Aeronautical and Astronautical University,Yantai264001,China; 2.No.91872 Unit of PLA,Beijing102442,China;3.No.92074 Unit of PLA,Ningbo315021,China) |
| Abstract: | Marine main engine shafting fault diagnosis is important for ship’ safe operation.Rough set approach is proved to be very useful in dealing with complex and uncertain problems.The marine diagnosis model based on rough set is established.The fault diagnosis data is discretized by NaiveScaler method.A reduct is solved by heuristic search algorithm based on attribute significance,then the rules of fault diagnosis are acquired.Finally,the validity is verified by an example. |
| Keywords: | ship fault diagnosis rough set discretization attribute reduct |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |