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| 摩擦学系统中磨损微粒类型判断决策的优化 | |
| 引用本文： | 赵新泽,严新平,邢敬华,高孝洪.摩擦学系统中磨损微粒类型判断决策的优化[J].润滑与密封,2004(4):27-30. |
| 作者姓名： | 赵新泽 严新平 邢敬华 高孝洪 |
| 作者单位： | 1. 武汉理工大学可靠性工程研究所,湖北,武汉,430063;三峡大学机械与材料学院,湖北,宜昌,443002 2. 武汉理工大学可靠性工程研究所,湖北,武汉,430063 3. 三峡大学机械与材料学院,湖北,宜昌,443002 |
| 基金项目： | 国家自然科学基金项目 (5 0 2 75 1 1 1 ) |
| 摘 要： | 利用粗糙集理论对磨损微粒类型判断的决策进行了优化，使知识表的属性由原来的6个减少为4个。结果表明：获得的决策的简化与用经验判断的结果一致；同时给出了简化后条件属性对决策结论的影响程度。为摩擦学系统中磨损微粒类型的判断决策提出了一种新的优化方法，从而提高了利用计算机进行磨粒识别的效率。 |
| 关 键 词： | 摩擦学系统 磨损 微粒 粗糙集 决策 优化 |
| 文章编号： | 0254-0150(2004)4-027-4 |
| 修稿时间： | 2003年11月24 |
The Decision Optimization of Wear Particle Mode in Tribology System |
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| Zhao Xinze , Yan Xinping Xing Jinghua Gao Xiaohong.The Decision Optimization of Wear Particle Mode in Tribology System[J].Lubrication Engineering,2004(4):27-30. | |
| Authors: | Zhao Xinze Yan Xinping Xing Jinghua Gao Xiaohong |
| Affiliation: | Zhao Xinze 1,2 Yan Xinping 1 Xing Jinghua 2 Gao Xiaohong 1 |
| Abstract: | The method of judging wear particle type was optimized based on rough sets theory. The condition attributes of knowledge base were reduced from 6 to 4.The result indicates that the simplified decision is conformed with experience.The significance of attributes to decision was given.A new optimization method was developed for judging wear particle mode in tribological system. And the efficiency of judging wear particle type by computer was improved. |
| Keywords: | rough sets theory wear particle type tribology |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |