石油学报 ›› 2005, Vol. 26 ›› Issue (4): 119-122.DOI: 10.7623/syxb200504026

• 石油工程 • 上一篇    下一篇

共振解调和模糊识别技术在钻井泵轴承故障诊断中的应用

裴峻峰1,2, 张嗣伟1, 齐明侠3   

  1. 1. 中国石油大学 北京 102249;
    2. 江苏工业学院 江苏常州 213016;
    3. 中国石油大学 山东东营 257061
  • 收稿日期:2004-05-28 修回日期:2004-07-26 出版日期:2005-07-25 发布日期:2010-05-21
  • 作者简介:裴峻峰,男,1954年11月生,1989年获石油大学硕士学位.现为中国石油大学(北京)在职博士,江苏工业学院机械系讲师,主要从事教学与科研工作.E-mail:pei3911@pub.cz.jsinfo.net

Application of demodulated resonance and fuzzy distinguishing technique to fault diagnosis of bearings in drilling pump

PEI Jun-feng1,2, ZHANG Si-wei1, QI Ming-xia3   

  1. 1. China University of Petroleum, Beijing 102249, China;
    2. Jiangsu Polytechnic University, Changzhou 213016;
    3. China University of Petroleum, Dongying 257061, China
  • Received:2004-05-28 Revised:2004-07-26 Online:2005-07-25 Published:2010-05-21

摘要: 在钻井生产现场,由于工作条件恶劣及振源多,背景噪声强烈,因而用理论计算所得到的故障特征频率与实测信号经一般频谱分析后得到的响应信息缺乏一一对应关系.为了解决钻井泵轴承故障特征难以提取的问题,采用共振解调技术来提取深埋于正常振动信息中轴承的故障信息,在此基础上进行频谱分析.但由于实际轴承的几何尺寸有误差,再加上现场各种因素的干扰,使这样得到的频谱图上的频率值与计算所得故障特征频率值仍有出入.进一步采用模糊"择近原则"来识别各种故障特征频率,从而较好地实现了钻井用往复泵轴承的故障诊断.

关键词: 钻井泵, 轴承, 故障诊断, 共振解调技术, 频谱分析, 模糊识别

Abstract: It is very difficult to gain actual information about fault diagnosis of bearings in reciprocating pump used for oil drilling at the drilling site owing to abominable working conditions and enormous background noise.The demodulated resonance technique combined with spectrum analysis and fuzzy-closest-principle were developed and applied to the fault diagnosis of bearings in drilling pump.The diagnosis result of bearings in reciprocating pump at drilling site showed the probability of this method.

Key words: drilling pump, bearing, fault diagnosis, demodulated resonance technique, spectrum analysis, fuzzy diagnosis

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