1.长沙理工大学 能源与动力工程学院, 湖南 长沙 410015
陈向民(1984— ),男,湖南衡阳人,博士,讲师;主要研究方向为信号处理与动力机械故障诊断。
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陈向民,段萌,黎琦等.基于ATF与ASAD的变转速齿轮故障诊断[J].机械传动,2021,45(10):144-150.
Chen Xiangmin,Duan Meng,Li Qi,et al.Fault Diagnosis of Variable Speed Gear based on ATF and ASAD[J].Journal of Mechanical Transmission,2021,45(10):144-150.
陈向民,段萌,黎琦等.基于ATF与ASAD的变转速齿轮故障诊断[J].机械传动,2021,45(10):144-150. DOI: 10.16578/j.issn.1004.2539.2021.10.023.
Chen Xiangmin,Duan Meng,Li Qi,et al.Fault Diagnosis of Variable Speed Gear based on ATF and ASAD[J].Journal of Mechanical Transmission,2021,45(10):144-150. DOI: 10.16578/j.issn.1004.2539.2021.10.023.
针对变工况、强噪声状态下齿轮的故障特征难以提取的问题,提出了一种基于自适应时变滤波(Adaptive time-varying filtering,ATF)与角域同步平均降噪(Angle domain synchronous average denoising,ASAD)的齿轮故障诊断方法。将ASAD与ATF相结合,对降噪后的信号进行阶次谱分析,并通过阶次谱中的调制边频带即可诊断齿轮局部故障。通过分析模拟数据及变转速齿轮箱试验台的数据表明,该方法对变转速状态下的齿轮振动信号有很好的信号分析自适应性,不仅能很好地滤除噪声干扰,提升通带内的噪声抑制效果,且能有效凸显变转速下的齿轮故障特征。
Aiming at the problem that is difficult to extract the fault features of gears under variable working and strong noise conditions,a fault diagnosis method based on adaptive time-varying filtering(ATF) and angle domain synchronous average(ASAD) is proposed. By combining ASAD and ATF,the signal after noise reduction is analyzed by order spectrum,and the local fault of gear can be diagnosed by modulation side frequency band in order spectrum. The simulation data and the data analysis of the variable speed gearbox test bench show that the proposed method has a good signal analysis adaptability for the gear vibration signals under the variable speed condition,and can not only filter out noise interference well,improve the noise suppression effect in the pass band,but also effectively highlight the gear fault characteristics under the variable speed condition.
自适应时变滤波角域同步平均阶次分析变转速齿轮降噪故障诊断
Adaptive time-varying filteringAngle domain synchronous averageOrder analysisVariable speed gearDenoisingFault diagnosis
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