时频特征融合的交叉项消除及其故障诊断应用  

Elimination of Cross-Terms Based on the Fusion of Time-Frequency Features and Its Application in Fault Diagnosis

作　　者：黄伟国[1] 赵凯[1] 鞠华[1] 朱忠奎[1] 

机构地区：[1]苏州大学城市轨道交通学院,苏州215131

出　　处：《振动．测试与诊断》2012年第6期920-925,1034,共6页Journal of Vibration,Measurement & Diagnosis

基　　金：国家自然科学基金资助项目(编号:50905121);江苏省自然科学基金资助项目(编号:BK2010225)

摘　　要：提出一种基于线性时频分布和双线性时频分布的时频特征融合策略,既消除双线性时频分析的交叉项,又保持双线性时频分析的时频聚集性。仿真信号的分析说明了该融合策略的有效性。通过融合策略在轴承外圈故障以及齿轮箱故障情况下的特征信号的时频分析,表明该策略能有效表示信号中的故障特征对时间和频率的分布情况,是一种有效的故障诊断时频特征表示方法。A fusion strategy for elimination of cross-terms based on linear time-frequency and bilinear time-frequency is proposed,which not only reduces the cross-terms but also preserves the superb time-frequency concentration of the bilinear time-frequency analysis.Simulation study shows that the strategy is effective in eliminating cross-terms.Application in bearing fault diagnosis and gearbox fault diagnosis shows that this strategy is effective in exacting the time-frequency features in vibration signal.

关 键 词：轴承 齿轮箱 时频分析 融合 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]