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| 基于灰色信息融合技术的磨粒识别方法 | |
| 引用本文： | 李兵,张培林,任国全,吴铮. 基于灰色信息融合技术的磨粒识别方法[J]. 润滑与密封, 2007, 32(9): 103-106 |
| 作者姓名： | 李兵 张培林 任国全 吴铮 |
| 作者单位： | 1. 军械工程学院,河北石家庄,200437 2. 南京理工大学,江苏南京,210094 3. 石家庄白求恩国际和平医院,河北石家庄,050082 |
| 摘 要： | 传统的灰色关联度计算方法是将单特征关联系数简单的进行求和平均,在磨粒识别中其识别结果分辨率不高,容易造成误判。提出了一种基于灰色信息融合技术的磨粒识别方法,它首先将各组单特征关联系数作为多源证据,然后利用D-S证据理论进行有效融合计算灰色关联度,实际计算表明,该方法能明显提高磨粒识别结果的分辨率及准确率。 |
| 关 键 词： | 灰色关联度 信息融合 磨粒识别 |
| 文章编号： | 0254-0150（2007）9-103-4 |
| 修稿时间： | 2007-03-19 |
Wear Particle Recognition Based on the Grey Information Fusion Method |
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| Li Bing,Zhang Peilin,Ren Guoquan,Wu Zheng. Wear Particle Recognition Based on the Grey Information Fusion Method[J]. Lubrication Engineering, 2007, 32(9): 103-106 | |
| Authors: | Li Bing Zhang Peilin Ren Guoquan Wu Zheng |
| Affiliation: | 1. Ordnance Engineering College, Shijiazhuang Hebei 200437, China ; 2. Nanjing University of Science and Technology, Nanjing Jiangsu 210094, China ; 3. Bethune International Peace Hospital, Shijiazhuang Hebei 050082,China |
| Abstract: | The traditional method to calculate the grey relation degree simply takes the average value of the relation coefficient based on single feature,it can not get a high distinguishing result and may cause the false recognitions in the application of wear particle recognition.Grey information fusion method was proposed for wear particle recognition.This new method takes the relation coefficient based on single feature as the multi-evidences,the D-S evidence theory is used to fuse the relation coefficients as the grey relation degree.According to the example,the new method gets a high distinguishing effect and a more precise result. |
| Keywords: | grey relation degree information fusion wear particle recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |