| 旋转机械智能故障诊断技术的发展趋势 |
| |
| 引用本文： | 赵荣珍,黄义仿,张力,张优云.旋转机械智能故障诊断技术的发展趋势[J].兰州理工大学学报,2008,34(5). |
| |
| 作者姓名： | 赵荣珍 黄义仿 张力 张优云 |
| |
| 作者单位： | 兰州理工大学,数字制造技术与应用省部共建教育部重点实验室,甘肃,兰州,730050;兰州理工大学,机电工程学院,甘肃,兰州,730050;兰州石化职业技术学院,机械工程系,甘肃,兰州,730060;西安交通大学,润滑理论及轴承研究所,陕西,西安,710049 |
| |
| 基金项目： | 国家自然科学基金，甘肃省科技攻关项目 |
| |
| 摘 要： | 对旋转机械智能故障诊断现状进行分析,展望发展趋势.当前的状态监测与故障诊断(condition monitoring and faults diagnosis,CM&FD)系统普遍存在的智能故障决策准确率偏低、可靠性差的状况显示出,相关研究仍面临着非常严峻的挑战.对数据库知识发现(knowledge discovery in database,KDD)和粗糙集理论的介绍表明,基于粗糙集理论工具的KDD为智能诊断向更科学化的方向发展指明了一条实现的新途径.但它也引发出对在线获得的故障知识应进行知识化保护问题研究的新课题.
|
| 关 键 词： | 旋转机械 故障诊断 数据库知识发现 诊断知识资源 |
Development trend of intelligent fault diagnosis technique of rotary machineries |
| |
| ZHAO Rong-zhen,HUANG Yi-fang,ZHANG Li,ZHANG You-yun.Development trend of intelligent fault diagnosis technique of rotary machineries[J].Journal of Lanzhou University of Technology,2008,34(5). |
| |
| Authors: | ZHAO Rong-zhen HUANG Yi-fang ZHANG Li ZHANG You-yun |
| |
| Institution: | ZHAO Rong-zhen1,2,HUANG Yi-fang3,ZHANG Li1,ZHANG You-yun4 (1.Key Laboratory of Digital Manufacturing Technology , Application,The Ministry of Education,Lanzhou Univ.of Tech.,Lanzhou730050,China,2.College of Mechano-Electronic Engineering,Lanzhou 730050,3.Lanzhou Petrochemical Vocational College of Technology,Lanzhou 730060,4.Institute of Lubrication Theory , Bearing,Xi\'an Jiaotong University,Xi\'an 710049,China) |
| |
| Abstract: | The intelligent faults diagnosis technology of rotating machinery is reviewed.The new trend in the special investigation is prospected.In general,both the precision degree and reliability in application of condition monitoring and faults diagnosis systems are all very low on the automatic decision-making at present.It shows out that the investigations are facing with the challenge.Knowledge Discovery in Database(KDD),the KDD using Rough Set Theory as knowledge mining tool especially,points out a new scienti... |
| |
| Keywords: | rotating machinery faults diagnosis knowledge discovery in database faults knowledge resource |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
