基于快速峭度图算法与平方包络共振解调的滚动轴承自适应故障诊断方法  

Adaptive fault diagnosis method of rolling element bearing based on fast kurtogram algorithm and square envelope resonant demodulation

作　　者：剡昌锋[1] 周俊[1] 吴黎晓[1] 由理 杨美玲 吴旭东 

机构地区：[1]兰州理工大学机电工程学院,甘肃兰州730050 [2]蚌埠液压机械有限公司,安徽蚌埠233030 [3]中核兰铀公司,甘肃兰州730000

出　　处：《兰州理工大学学报》2017年第1期33-38,共6页Journal of Lanzhou University of Technology

基　　金：国家自然科学基金(51165018)

摘　　要：针对共振解调技术应用在滚动轴承故障诊断中存在信噪比低和带通滤波器参数需要依靠经验确定的问题,提出了一种基于快速峭度图算法与平方包络共振解调技术相结合的滚动轴承自适应故障诊断方法.根据快速峭度图算法的自适应性,确定带通滤波器的参数,并提取滚动轴承故障振动信号高频共振带中包含的故障特征频段;计算去直流后信号的信噪比,若其信噪比大于1,则利用平方包络方法进行重构,以突出故障特征信号;对重构信号进行频谱分析,得到其故障特征频率,识别出相应的故障类型.通过故障滚动轴承试验,验证了该方法的有效性和准确性.Aimed at the problem of low signal-to-noise ratio and indispensable empirical determination of band-pass filter parameters in rolling element bearing fault diagnosis with resonance demodulation technique, an adaptive fault diagnosis method for rolling element bearing is presented based on fast kurtogram algorithm and square envelope resonant demodulation method. According to the adaptability of the fast kurtogram algorithm, the band-pass filter parameters are determined and the fault characteristic frequency bands are extracted from high-frequency resonance band of rolling element bearing fault vibration signal. The signal-to-noise ratio of signal without DC component is evaluated, if the signal-to-noise ratio is greater than 1, then the square envelope method is used to reconstruct the signal in order to highlight fault characteristic signal. The frequency spectrum analysis of the reconstructed signal is conducted to obtain the fault characteristic frequency and identify corresponding failure type. The validity and accuracy of the proposed method is verified with rolling element bearing failure test.

关 键 词：快速峭度图算法 平方包络 共振解调 滚动轴承 故障诊断 

分 类 号：TH133[机械工程—机械制造及自动化]