%0 Journal Article
%T 一种基于多点峭度谱和最大相关峭度解卷积的滚动轴承故障诊断方法
%A 刘文朋
%A 廖英英
%A 杨绍普
%A 刘永强
%A 顾晓辉
%J 振动与冲击
%D 2019
%X 针对最大相关峭度解卷积(MCKD)方法需要预知准确的滚动轴承故障特征周期的不足，提出一种多点峭度谱(Mkurt spectrum)和MCKD相结合的滚动轴承故障诊断方法。首先利用多点峭度谱对采样信号进行处理，通过比较不同周期下解卷积结果输出的信号的多点峭度谱，对预先估计的故障特征周期进行修正，再将优化得到的故障周期的精确取值输入到MCKD算法中，增强原信号中周期性故障冲击特征，最后通过包络解调来诊断故障类型。通过对仿真信号、6205轴承外圈故障和铁路货车轮对轴承复合故障的试验信号的分析表明：即使在未知准确转速的条件下，该方法依然可以有效的实现滚动轴承的故障诊断，具有较高的工程应用价值。</br>Abstract：Considering the shortcoming of the maximum correlated kurtosis deconvolution(MCKD) method of being necessary to foreknow the precise fault feature period of rolling element bearings,a new fault diagnosis method was proposed for rolling element bearings based on the MCKD combined with the multipoint kurtosis spectrum(Mkurt spectrum).First,sampled signals were processed by the multipoint kurtosis spectrum method,through comparing the multipoint kurtosis of output signals from the deconvolution with different periods to modify the anticipated fault feature period.Next,the optimized fault feature period was put into the MCKD algorithm to strengthen the cyclical fault impact characteristics in the original signals.Then,the fault type was identified through the envelope demodulation.The analysis on the simulation signals,outer ring fault signals of a 6205 bearing and multi-fault railway wagon wheel set bearing signals show that the method proposed can realize the fault diagnosis of rolling element bearings effectively,even on the condition without the knowledge of accurate speed,which is of a high value of engineering application.
%K 滚动轴承
%K 故障诊断
%K 多点峭度谱
%K MCKD
%K 复合故障&lt
%K /br&gt
%U http://jvs.sjtu.edu.cn/CN/abstract/abstract8207.shtml