| 基于数据挖掘的设备状态监测和故障诊断 |
| |
| 引用本文： | 伍星,陈进,李如强,陈一鸣.基于数据挖掘的设备状态监测和故障诊断[J].振动与冲击,2004,23(4):70-74. |
| |
| 作者姓名： | 伍星 陈进 李如强 陈一鸣 |
| |
| 作者单位： | 上海交通大学,振动、冲击、噪声国家重点实验室,上海,200030 |
| |
| 基金项目： | 受“十五”国家科技攻关计划重点项目 (2 0 0 1BA2 0 4B0 5_KHKZ0 0 0 9)，国家自然科学基金项目 (50 1 750 68)资助 |
| |
| 摘 要： | 从设备状态监测和故障诊断与数据挖掘技术之间的相互关系出发，在全面地介绍数据挖掘的起源、发展和相关产品的基础之上，重点讨论了它在特征提取、状态识别、诊断决策等与设备状态监测和故障诊断相关领域中的应用，指出将数据挖掘应用于设备状态监测和故障诊断领域具有重要的研究价值和实际应用意义。
|
| 关 键 词： | 数据挖掘技术 设备状态监测 故障诊断 特征提取 从设备 领域 断相 相关产品 状态识别 基础 |
| 修稿时间： | 2003年5月16日 |
State Monitoring and Fault Diagnosis of Equipments Based on Data Mining |
| |
| Wu Xing,Chen Jin,Li Ruqiang,Chen Yiming.State Monitoring and Fault Diagnosis of Equipments Based on Data Mining[J].Journal of Vibration and Shock,2004,23(4):70-74. |
| |
| Authors: | Wu Xing Chen Jin Li Ruqiang Chen Yiming |
| |
| Abstract: | From the viewpoint of the relationship between state monitoring and fault diagnosis of equipments and data mining,based on comprehensively introducing the origination,the development and related products of data mining,the applications of data mining are discussed emphatically in the area of state monitoring and fault diagnosis of equipments,such as feature extraction,state identification and diagnosis decision,etc.It is pointed out that the theory of data mining possesses not only the important theoretical research value but also the practical application significance in the field of state monitoring and fault diagnosis of equipments. |
| |
| Keywords: | data mining state monitoring fault diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
