摘要
鉴于峰值因子、脉冲因子、峭度因子在滚动轴承运转状态监测方面的不足,基于模糊集理论提出一种用于评估滚动轴承振动性能变异的新方法。首先对滚动轴承振动原始数据序列分组得到样本序列,然后选定本征序列,计算各样本序列的标准差及相对于本征序列的绝对关联度、灰置信水平和贴近度作为新的样本值,将其进行数量级一致化处理并通过线性映射公式构成模糊相似矩阵,利用传递闭包法将模糊相似矩阵转化为模糊等价矩阵,将模糊等价矩阵中的模糊等价系数与设定阈值λ=0.5作比较,对滚动轴承振动性能变异情况作出评估。最后通过仿真数据和实验数据验证了所提方法的可行性和正确性。
In view of the deficiencies of peak factor,pulse factor and kurtosis factor in the monitoring of rolling bearing running condition,a new method to evaluate the variation of vibration performance of rolling bearing is proposed based on the fuzzy-set theory. Firstly,the original data sequence of the rolling bearing vibration is divided into the sample sequences,and then the intrinsic sequence is selected to calculate the standard deviation of each sample sequence and the absolute correlation degree,the gray confidence level and the closeness degree relative to the intrinsic sequence as new sample values. Then a fuzzy similarity matrix made up of these values processed in order of magnitude and by the linear mapping formula is further transformed into a fuzzy equivalence matrix via transitive closure method and the evaluation of the variation of vibration performance of rolling bearing is made by comparing equivalence coefficients in the fuzzy equivalence matrix with the set threshold( λ = 0. 5). Finally,the feasibility and correctness of the proposed method are verified by simulation data and experimental data.
引文
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