| 航空机械装备失效分析数据库及数据挖掘技术的应用 |
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| 引用本文： | 陈丽娜 徐元铭. 航空机械装备失效分析数据库及数据挖掘技术的应用[J]. 机械工程材料, 2005, 29(10): 63-66 |
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| 作者姓名： | 陈丽娜 徐元铭 |
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| 作者单位： | 北京航空航天大学航空科学与工程学院,北京100083 |
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| 基金项目： | 国家重点基础研究发展规划资助项目（G1999065010） |
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| 摘 要： | 介绍了航空装备失效分析数据库以及知识发现和关联规则数据挖掘的基本概念和算法，分析了应用数据挖掘方法进行失效分析知识获取的必要性和可行性。结合400个典型失效分析案例，给出了获取失效模式规则知识的应用实例。分析表明：关联规则数据挖掘能够从大量失效数据信息中提取潜在的有用信息和知识，从而为失效分析提供决策支持。
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| 关 键 词： | 数据库 知识发现 数据挖掘 关联规则 |
| 文章编号： | 1000-3738（2005）10-0063-04 |
| 收稿时间： | 2004-07-12 |
| 修稿时间： | 2004-07-122004-09-25 |
Database and Associated Data Mining Technology in Aeronautical Equipment Failure Analysis |
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| CHEN Li-na, XU Yuan-ming. Database and Associated Data Mining Technology in Aeronautical Equipment Failure Analysis[J]. Materials For Mechanical Engineering, 2005, 29(10): 63-66 |
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| Authors: | CHEN Li-na XU Yuan-ming |
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| Affiliation: | Beijing University of Aeronautics and Astronautics, Beijing 100083, China |
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| Abstract: | Aeronautical equipment failure analysis database, concepts of knowledge discovery and data mining method based on association rule are described in this paper. The necessity and feasibility of these technologies being applied to the acquisition of failure analysis knowledge are discussed. Based on the study of 400 typical failure analysis cases, it is illustrated that association rule mining method can effectively obtain the potential useful rulebased knowledge, and provide decision support to failure analysis. |
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| Keywords: | database knowledge discovery database mining association rule |
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