变转速工作模式下齿轮啮合会掩盖故障轴承冲击特征,使得轴承故障特征信息微弱,针对变转速工作模式下齿轮啮合对轴承信号干扰的问题,提出了迭代广义解调齿轮信号分离的变转速滚动轴承的故障诊断方法。首先采用峰值搜索算法从包络时频谱中提取峰值啮合倍频(Instantaneous Dominant Meshing Multiply, IDMM),通过IDMM趋势线构造各广义解调函数的相位函数。其次利用迭代广义解调算法(Iterative Generalized Demodulation, IGD)分离出齿轮啮合频率及倍频信号,对剩余信号采用谱峭度算法确定由故障轴承引起的高频共振滤波参数并进行带通滤波。最后,以提取的IDMM趋势线作为轴承转频,对滤波结果进行角域重采样,根据阶次谱对滚动轴承运行状态予以判断。仿真信号和实测信号的处理结果证明该方法在无转速计设备的情况下能有效的实现变转速滚动轴承的故障诊断。
Abstract
Under a variable rotating speed condition,gear meshing can cover faulty bearing shock characteristics and make bearing fault characteristic information be weak.Aiming at effects of gear meshing on bearing fault diagnosis,a new method for variable rotating speed rolling bearing fault diagnosis based on the iterative generalized demodulation (IGD) gear signal separation was proposed.Firstly,The instantaneous dominant meshing multiply (IDMM) was extracted from the envelope time-frequency spectrum with the peak value searching algorithm to construct phase functions for various generalized demodulation functions with the IDMM trend line.Secondly,the gear meshing frequency and its frequency multiplication signals were separated from gear signals with the IGD algorithm,and residual signals were used to determine higher frequency resonance filtering parameters caused by faulty bearing with the spectral kurtosis algorithm and then bandpass filtering was done.Finally,the IDMM trend line extracted were taken as the bearing rotating frequency to perform angular domain resampling for filtered results.The order spectrum was used to judge rolling bearing’s operational state.The processed results of simulated signals and actual tested ones showed that the proposed method can be used to effectively realize time-varying rotating speed rolling bearing fault diagnosis without a tachometer.
关键词
变转速 /
滚动轴承 /
齿轮干扰 /
迭代广义解调 /
故障诊断
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Key words
variable speed /
rolling bearing /
gear interference /
IGD /
fault diagnosis
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参考文献
[ 1 ] Randall R B, Antoni J. Rolling element bearing diagnostics—A tutorial[J]. Mechanical Systems and Signal Processing, 2011, 25(2):485-520.
[ 2 ] 马新娜, 杨绍普. 滚动轴承复合故障诊断的自适应方法研究[J]. 振动与冲击, 2016,35(10):145-150.
MA Xinna, YANG Shaopu. Adaptive compound fault diagnosis of rolling bearings[J]. Journal of vibration and shock, 2016, 35(10):145-150.
[ 3 ] Wang K S, Heyns P S. The combined use of order tracking techniques for enhanced Fourier analysis of order components[J]. Mechanical Systems and Signal Processing, 2011, 25(3):803-811.
[ 4 ] 刘亭伟, 郭瑜, 李斌,等. 基于谱峭度的滚动轴承故障包络阶比跟踪分析[J]. 振动与冲击, 2012, 31(17):149-153.
Liu T W, Guo Y, Li B, et al. Envelope order tracking analysis for rolling element bearing faults based on spectral kurtosis[J]. Journal of Vibration and Shock, 2012, 31(17):149-153.
[ 5 ] Borghesani P, Ricci R, Chatterton S, et al. A new procedure for using envelope analysis for rolling element bearing diagnostics in variable operating conditions[J]. Mechanical Systems and Signal Processing, 2013, 38(1):23-35.
[ 6 ] Wang T, Liang M, Li Jian-yong, et al. Bearing fault diagnosis under unknown variable speed via gear noise cancellation and rotational order sideband identification[J]. Mechanical Systems and Signal Processing, 2015, s 62-63 (62-63):30-53.
[ 7 ] 赵德尊, 李建勇, 程卫东. 变转速及齿轮噪源干扰下基于IDMM与EMD的滚动轴承故障诊断方法[J]. 振动与冲击, 2016, 35(10):101-107.
Zhao DZ,Li JY,Cheng WD. Method for rolling element bearing fault diagnosis based on IDMM and EMD under time-varying rotational speed and gear noise[J]. Journal of Vibration and Shock, 2016, 35(10):101-107.
[ 8 ] Feng Z, Chen X, Liang M, et al. Time–frequency demodulation analysis based on iterative generalized demodulation for fault diagnosis of planetary gearbox under nonstationary conditions[J]. Mechanical Systems and Signal Processing, 2015, s 62-63(62-63):54-74.
[ 9 ] Feng Z, Chu F, Zuo M J. Time–frequency analysis of time-varying modulated signals based on improved energy separation by iterative generalized demodulation[J]. Journal of Sound and Vibration, 2011, 330(6):1225-1243.
[10] 程军圣, 李宝庆, 杨宇. 基于广义解调时频分析和瞬时频率计算的阶次谱方法在齿轮故障诊断中的应用[J]. 振动与冲击,2011,30(09):30-34.
Cheng J S, Li B Q, Yang Y. Application of order spectrum method based on generalized demodulation time-frequency analysis and instantaneous frequency calculation to gear fault diagnosis[J]. Journal of Vibration and Shock, 2011, 30(9):30-34.
[11] Eftekharnejad B, Carrasco M R, Charnley B, et al. The application of spectral kurtosis on Acoustic Emission and vibrations from a defective bearing[J]. Mechanical Systems and Signal Processing, 2011, 25(1):266-284.
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脚注
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