| 引用本文: | 王珉,胡茑庆,秦国军.LRE试车数据挖掘中基于最大散度差的模糊聚类分析方法.[J].国防科技大学学报,2011,33(3):164-168.[点击复制] |
| WANG Min,HU Niaoqing,Qin Guojun.Fuzzy Cluster Analysis Based on Maximum Scatter Difference in LRE Test Data Mining[J].Journal of National University of Defense Technology,2011,33(3):164-168[点击复制] |
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| LRE试车数据挖掘中基于最大散度差的模糊聚类分析方法 |
| 王珉, 胡茑庆, 秦国军 |
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(国防科技大学 机电工程与自动化学院，湖南 长沙 410073)
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| 摘要: |
| 在对液体火箭发动机试车数据进行聚类分析时，为解决故障数据样本与正常样本类间差异不大的问题，引入最大散度差准则，提出基于最大散度差的聚类算法 MSD-CA。该算法以散度度量样本间的相似性，使样本的类内散度最小化和类间散度最大化同时进行。在此基础上，应用模糊理论对最大散度差准则进行模糊化，提出基于最大散度差的模糊聚类算法MSD-FCA，用于对试车样本进行“软划分”，以提高聚类的正确性。实验结果证明了MSD-FCA的有效性。 |
| 关键词: 液体火箭发动机 试车数据 数据挖掘 最大散度差准则 软划分 模糊聚类 |
| DOI： |
| 投稿日期：2010-09-12 |
| 基金项目:国家自然科学基金资助项目(50675219)；湖南省杰出青年科学基金资助项目(08JJ1088) |
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| Fuzzy Cluster Analysis Based on Maximum Scatter Difference in LRE Test Data Mining |
| WANG Min, HU Niaoqing, Qin Guojun |
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(College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| In the clustering analysis of test data of liquid rocket engine, in order to solve the problem that there is insignificant difference between fault sample and normal sample, the maximum scatter difference criterion was introduced and the maximum scatter difference based clustering algorithm (MSD-CA) was presented. In MSD-CA, the similarity of samples was measured by divergence, and the minimizing of the within-class divergence and maximizing of the between-class divergence were processed together. After that, fuzzy theory was introduced to maximum scatter difference criterion, and the maximum scatter difference based fuzzy clustering algorithm (MSD-FCA) was presented and used to do “soft partition” for test data to improve the precision of cluster. The method is verified with experimental results. |
| Keywords: liquid rocket engine test data data mining maximum scatter difference criterion soft partition fuzzy clustering |
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