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基于盲源分离的齿轮箱复合故障诊断研究
引用本文:田昊,唐力伟,田广.基于盲源分离的齿轮箱复合故障诊断研究[J].兵工学报,2010,31(5):646-649.
作者姓名:田昊  唐力伟  田广
作者单位:军械工程学院,火炮工程系,河北,石家庄,050003;军械工程学院,火炮工程系,河北,石家庄,050003;军械工程学院,火炮工程系,河北,石家庄,050003
基金项目:国家自然科学基金资助项目 
摘    要:针对传统盲源分离(BSS)技术在处理非线性变化的复合故障信号时的不足,将核独立分量分析(KICA)技术应用于齿轮箱的状态检测与故障诊断。介绍了KICA的基本原理,进行了仿真说明。最后应用该方法并结合包络阶次谱分析对设置了2种故障的齿轮箱进行故障诊断,最终找到了故障特征,成功判别出了这2种故障,并验证了该方法的有效性。

关 键 词:机械学  齿轮箱  故障诊断  盲源分离  复合故障  核独立分量分析

Compound Fault Diagnosis for Gearbox Based on Blind Source Separation
TIAN Hao,TANG Li-wei,TIAN Guang.Compound Fault Diagnosis for Gearbox Based on Blind Source Separation[J].Acta Armamentarii,2010,31(5):646-649.
Authors:TIAN Hao  TANG Li-wei  TIAN Guang
Affiliation:(Department of Guns Engineering, Ordnance Engineering College, Shijiazhuang 050003, Hebei, China)
Abstract:Aiming at the shortage of the blind source separation(BSS)in processing non-linear compound fault signals,the kernel independent component analysis(KICA)was used in the performance test and fault diagnosis for the gearbox.The principle of KICA was introduced and then illustrated with simulations.Finally,combined with envelope order spectrum analysis,this method was used to diagnose the gearbox with two types of faults.The fault characteristics were found out,and the faults were distinguished successfully.
Keywords:mechanics  gearbox  fault diagnosis  blind source separation  compound fault  kernel independent component analysis  
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