| 1. | Research review on the analysis of ferrography wear particle
铁谱磨粒智能分析的发展 |
| 2. | Construct a automate wear particle recognition model . 7
构造了一个自动磨粒识别模型。 |
| 3. | Screen and weight analysis of wear particle characteristic parameters
磨粒特征参数的筛选及权分析 |
| 4. | Multiple fractal of fragmentizing process and distribution of wear particles
磨屑破碎及分布的多重分形模拟 |
| 5. | The application of edge - detection in extracting feature parameters of wear particles
边缘检测技术在磨粒参数特征提取中的应用 |
| 6. | Nodes self - deleting neural network and its application in wear particles recognition
节点自删除神经网络及其在磨粒识别中的应用 |
| 7. | Study on wavelet analysis of wear particle image in running - in process of marine diesel engine
船用柴油机磨合过程铁谱磨粒图像的小波分析 |
| 8. | Wear of implant materials - polymer and metal wear particles - isolation , characterization and quantification
植入材料的磨损.聚酯和金属磨损粒子.离析表征和量化 |
| 9. | There are two ways that the solid particles come from : ( 1 ) environment and wear particles
固体颗粒主要来自两个方面：一是外界环境和磨损的产物；二是固体悬浮添加剂。 |
| 10. | Because of the diversity and complicacy of the wear particle , the recognition procedure is carried out without guidance of mature theory
由于磨粒的多样性和复杂性，这种识别过程尚无成熟的理论方法来指导。 |
