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| 基于数据挖掘的旋转部件故障特征模式提取研究 | |
| 引用本文： | 余志红,王锐,陈志刚. 基于数据挖掘的旋转部件故障特征模式提取研究[J]. 石油矿场机械, 2006, 35(5): 23-26 |
| 作者姓名： | 余志红 王锐 陈志刚 |
| 作者单位： | 1. 中国劳动关系学院,安全工程系,北京,100037 2. 中石化石油勘探开发研究院,北京 100083 3. 中国石油大学(北京)机电工程学院,北京,102249 |
| 基金项目： | 国家自然科学基金;北京市科技新星计划项目 |
| 摘 要： | 针对大型设备旋转部件故障模式复杂难以辨识的特点,选取与其运行状态密切相关的多个振动参数作为原始特征模式,阐述如何从故障信号数据库中,应用模糊聚类方法对旋转部件运行状态进行评判,挖掘出诊断的敏感特征参数。文章给出了建立模型的基本思想、算法和步骤,并结合实例验证了该方法的正确性。实验表明,该方法能有效地提取旋转部件故障特征模式,从而实现对大型机械设备故障的精确诊断。 |
| 关 键 词： | 旋转部件 模糊聚类 数据挖掘 特征提取 |
| 文章编号： | 1001-3482(2006)05-0023-04 |
| 收稿时间： | 2006-03-20 |
| 修稿时间： | 2006-03-20 |
Study on centrifugal gas compressor bearing fault character obtaining based on data mining |
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| YU Zhi-hong,WANG Rui,CHEN Zhi-gang. Study on centrifugal gas compressor bearing fault character obtaining based on data mining[J]. Oil Field Equipment, 2006, 35(5): 23-26 | |
| Authors: | YU Zhi-hong WANG Rui CHEN Zhi-gang |
| Affiliation: | 1. Department of Safety Engineering in the China Institute of Industrial Relations, Beijing 100037,China; 2. Exploration and Production Research Institute, Beijing 100083, China; 3. College of Mechanical and Electronic Engineering ,China University of Petroleum, Beijing 102249, China |
| Abstract: | According to the characteristics of frequent fault and difficult diagnosis of rotating parts,selecting more interrelated vibration parameters as original character vectors,how to collect the characters from fault database and analyze rotating parts' running conditions by applying fuzzy clustering way is demonstrated in this paper.The theory of establishing model,specific algorithm and steps are given as well.Applied example showed that the method is correct and the result of fault diagnosis has also been proved to be reliable and accurate. |
| Keywords: | rotating parts fuzzy clustering data mining character obtaining |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |