快速谱峭度与全矢谱结合的滚动轴承故障诊断  

Rolling Bearing Fault Diagnosis Based on Fast Kurtogram and Full Vector Spectrum

作　　者：林辉翼 郝伟[1] 郝旺身[1] 高亚娟 LIN Hui-yi;HAO Wei;HAO Wang-shen;GAO Ya-juan(Institute of Vibration Engineering,Zhengzhou University,He’nan Zhengzhou 450001,China)

机构地区：[1]郑州大学振动工程研究所

出　　处：《机械设计与制造》2019年第9期5-8,共4页Machinery Design & Manufacture

基　　金：国家重点研发计划项目“国家质量基础(NQI)的共性技术研究与应用”专项 游乐园和景区载人设备全生命周期检测监测与完整性评价技术研究(2016YFF0203100)

摘　　要：针对滚动轴承信号的非平稳调制特性以及单通道分析易造成信息遗漏的缺点,提出了一种基于快速谱峭度算法(Fast Kurtogram)和全矢谱技术的故障特征提取方法。首先利用快速谱峭度算法自适应地确定带通滤波器的最佳中心频率与带宽等参数,根据所选参数构建带通滤波器对双通道故障信号进行滤波,以提高其信噪比;然后对滤波后的信号进行全矢信息融合以保证故障信息的全面性;最后对信息融合后的信号进行包络解调分析以获取振动信号的故障特征信息。实验分析结果表明,该方法能有效地提取滚动轴承的故障特征频率,并提高故障诊断的准确性。Aiming at rolling bearing signal’s non-stationary modulation feature and the drawback of single channel analysis whichcan easilylead to missing information,a fault feature extraction method based on fast kurtogram algorithmand full vector spectrum is proposed.Firstly,the Fast Kurtogram algorithm is used to determine the optimal center frequency and bandwidth parameters of the band-pass filter,and the two-channel fault signalsare band-pass filtered according to the selected parameters to improve their signal-to-noise ratio.Then,the full vector information fusion is used to ensure the information integrity of the filtered signal.Finally,the envelope demodulation is carried out to extract the fault feature frequency of the vibration signal after fusion.The experimental result show that the method can effectively extract the fault feature frequency and the accuracy of fault diagnosis can also be improved.

关 键 词：快速谱峭度 全矢谱 故障诊断 滚动轴承 特征提取 带通滤波 

分 类 号：TH16[机械工程—机械制造及自动化] TH133