针对滚动轴承出现故障时振动信号表现出的周期冲击性特征,以寻求表征故障信号特征的最优频带为目的,提出了一种利用二分法思想从带宽和中心频率两个角度进行优化搜索的三维谱峭图算法。将该方法应用于共振解调技术带通滤波器参数的确定,形成基于三维谱峭图算法的共振解调技术。为了验证该技术的有效性,在铁路货车轮对跑合实验台上进行了轮对故障轴承的振动测试。采用基于三维谱峭图算法的共振解调技术进行故障诊断分析,并与基于快速谱峭图的共振解调技术进行了对比。结果表明,基于三维谱峭图算法的共振解调技术能够更好地诊断轴承故障。最后,通过对时间复杂度的求解,证明了三维谱峭图算法具有较高的执行效率,在工程应用方面具有一定的参考价值。
Aiming at the features of periodicity impulsion of vibration signals from rolling bearings with faults,a three-dimensional kurtogram algorithm was proposed,which used the dichotomy of bandwidth and center frequency to search the optimal band with fault signals.The method was applied to select the parameters of band-pass filter in resonance demodulation.Thus,the resonance demodulat was brought forward based on three-dimensional kurtogram.With the running-in test-bed of railway wheel-set,experiments were carried out on rolling bearings with natural faults.The proposed method was used to fault diagnosis.Compared with the resonance demodulat based on fast kurtogram,the proposed method has better identification ability of faults.Finally,time complexity of three-dimensional kurtogram algorithm shows its higher efficiency and value for engineering applications.