首页 | 本学科首页   官方微博 | 高级检索  
     

天然气压缩机耦合故障的波动熵诊断模型
引用本文:崔厚玺,张来斌,段礼祥,兰新阳. 天然气压缩机耦合故障的波动熵诊断模型[J]. 中南大学学报(自然科学版), 2010, 41(1)
作者姓名:崔厚玺  张来斌  段礼祥  兰新阳
作者单位:1. 中国石油集团海洋工程有限公司,工程设计院,北京,100176
2. 中国石油大学(北京)机电工程学院,北京,102249
基金项目:教育部新世纪优秀人才支持计划项目,中国石油天然气集团公司创新基金资助项目 
摘    要:针对天然气压缩机耦合故障的定性及定量特征难以提取的问题,提出基于信息熵的故障诊断方法,提取机组振动信号构造能量谱向量,进而提取信号的波动熵特征作为识别参数建立耦合故障的波动熵诊断模型,并根据波动熵对耦合故障进行分类。研究结果表明:波动熵模型可准确诊断出压缩机的耦合故障;该模型无需提取信号局部细节特征,可解决故障特征提取及故障建模的复杂性难题,提高诊断的容错性和灵活性。

关 键 词:天然气压缩机  耦合故障  波动熵  故障诊断

Coupling fault diagnosis for gas compressor based on fluctuation entropy model
CUI Hou-xi,ZHANG Lai-bin,DUAN Li-xiang,LAN Xin-yang. Coupling fault diagnosis for gas compressor based on fluctuation entropy model[J]. Journal of Central South University:Science and Technology, 2010, 41(1)
Authors:CUI Hou-xi  ZHANG Lai-bin  DUAN Li-xiang  LAN Xin-yang
Affiliation:CUI Hou-xi1,ZHANG Lai-bin2,DUAN Li-xiang2,LAN Xin-yang1 (1. Engineering Design Institute,China National Petroleum Offshore Engineering Co. Ltd.,Beijing 100176,China,2. Faculty of Mechanical , Electronic Engineering,China University of Petroleum,Beijing 102249,China)
Abstract:Based on the fact that the coupling fault of the gas compressor is serious and that it is difficult to carry its characteristics out, according to the mechanism and the characteristic of the coupling failure, the fluctuation entropy was extracted as the feature parameter to establish the diagnostic model. The results show that some other detail parameters do not need to be extracted in the proposed method, which is different from the traditional diagnosis techniques. The problem of failure modeling and feat...
Keywords:gas compressor  coupling failure  fluctuation entropy  fault diagnosis  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号