滚动轴承性能时间序列的模糊假设检验

摘要

To evaluate the time series of rolling bearing performance under poor information condition,a model of fuzzy hypothesis testing based on improved fuzzy relationship is established.Under the conditions of small samples,unknown probability distributions and rules of trends,the empirical confidence level is used to evaluate the evolution process of the time series.Through the Monte Carlo simulation and experimental investigations on the rolling bearing performance parameters,the validity of the model is proved.%为解决乏信息条件下的滚动轴承性能时间序列评估问题,建立基于改进模糊关系的模糊假设检验模型,在小样本、概率分布和趋势规律均未知的条件下,应用经验置信水平来评估时间序列的演化.通过对滚动轴承的性能参数进行Monte Carlo仿真和试验研究证明了该模型的有效性.