首页 | 官方网站   微博 | 高级检索  
     

利用遗传编程提取齿轮多重故障分类特征
引用本文:轩建平,史铁林,廖广兰,来五星. 利用遗传编程提取齿轮多重故障分类特征[J]. 振动工程学报, 2006, 19(1): 70-74
作者姓名:轩建平  史铁林  廖广兰  来五星
作者单位:华中科技大学机械工程学院,湖北,武汉,430074
基金项目:国家重点基础研究发展计划(973计划);中国科学院资助项目;武汉科技大学校科研和教改项目
摘    要:特征提取是齿轮多重状态或故障分类中一个很重要的问题。为解决该问题,提出了利用频域特征和遗传编程对齿轮箱盖多类状态振动信号进行特征提取的方法。为了使诊断结果更好地可视化。利用遗传编程结果的固有随机性,提取两个新特征指标。结果表明,该方法对振动数据进行了准确的多重故障分类,也可以应用到其它机械故障诊断或分类中。

关 键 词:故障诊断  齿轮  遗传编程  特征提取  分类指标
文章编号:1004-4523(2006)01-0070-05
收稿时间:2004-11-26
修稿时间:2005-05-23

Classification feature extraction of multiple gear faults using genetic programming
XUAN Jian-ping,SHI Tie-lin,LIAO Guang-lan,LAI Wu-xing. Classification feature extraction of multiple gear faults using genetic programming[J]. Journal of Vibration Engineering, 2006, 19(1): 70-74
Authors:XUAN Jian-ping  SHI Tie-lin  LIAO Guang-lan  LAI Wu-xing
Affiliation:School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Abstract:An approach is proposed in an attempt to solve a problem in gear fault diagnosis, i.e. classification feature extraction of multiple gear faults, for which the procedure based on genetic programming and power spectral density is embloyed. The power spectral density of gearbox vibration signals is estimated by the periodogram from which original feature sets are derived. A new feature index is constructed and selected from the feature sets by genetic programming, which successfully classifies all multiple gear conditions. To visualize the classificat;on results, the second new feature index is constructed fol- lowing the same procedure. Results show that two new feature indices can classify 6 patterns of conditions. The approach can also be applied to other mechanical fault diagnosis and classification.
Keywords:fault diagnosis    gear    genetic programming   feature extraction   classification index
本文献已被 CNKI 维普 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-23

京公网安备 11010802026262号