摘要
提出了一种基于二元维纳过程的轴承剩余寿命预测方法。首先,分析轴承两个相互垂直方向上的振动信号,分别构建表征轴承健康状态的性能指标;其次,针对轴承性能退化过程的特点,建立基于维纳过程的二元退化模型;然后,利用AIC（akaike information criterion）信息准则选择合适的Copula函数分析两个性能指标间的相关特性,并计算轴承剩余寿命的联合概率密度函数;采用极大似然估计法在线更新模型参数,预测轴承未来时刻健康状态的变化情况并得到其剩余寿命;最后,通过轴承数据对所提方法进行了验证分析,结果表明,所提方法能够有效的预测轴承的剩余寿命,与基于一元维纳过程的剩余寿命预测方法相比,具有更好的预测精度。
One kind of two-dimensional Wiener process based approach is proposed for predicting bearing remaining useful life（RUL）.Firstly,two mutually perpendicular vibration signals of the bearing are analyzed. The health indexes corresponding to those two vibration signals are constructed respectively to indicate the degradation trend of the bearing. Secondly,a two-dimensional Wiener process model is formulated by considering the feature of bearing degradation trend. Then,Copula functions are adopted to analyze the relationship between two different health indexes. Akaike information criterion（AIC） is utilized to select a proper Copula function to estimate the joint probability density function of bearing RUL. Parameters of the two-dimensional Wiener process model are updated by using the maximum likelihood estimation method. The future health conditions of bearing can be estimated to predict its RUL. Finally,bearing data are used to evaluate the proposed approach. Experimental results show that the proposed approach can effectively predict bearing RUL. Compared with the one-dimensional Wiener process based approach,it has better performance.
作者
金晓航
李建华
孙毅
Jin Xiaohang;Li Jianhua;Sun Yi(Key Laboratory of E ＆ M,MOE,Zhejiaag University of Technology,Hangzhou 310014,China;College of Mechanical Engineering,Zhejiang University of Technology,Hangzhou 310014,China;Institute of Ocean Research,Zhefiang University of Technology,Hangzhou 310014,China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2018年第6期89-95,共7页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(51505424,51675484)
浙江省自然科学基金(LY15E050019)项目资助
关键词
二元维纳过程
COPULA函数
剩余寿命预测
轴承
two-dimensional Wiener process
Copula function
remaining useful life prediction
bearing
