用于轴心轨迹提纯的小波精细积分算法  

Wavelet Precise Integration Method for Purification to Locus of Journal Center

作　　者：曹永宁[1] 杨勇 

机构地区：[1]宁夏职业技术学院工业工程系,银川750021 [2]瑞斯康达科技发展股份有限公司,北京100085

出　　处：《组合机床与自动化加工技术》2015年第11期16-18,共3页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：国家自然科学基金(41171337)

摘　　要：转子轴心轨迹是分析转子故障原因的重要依据。实测的轴心轨迹由于存在噪声干扰需要经过提纯方能用于转子故障分析。针对最新提出的偏微分方程轴心轨迹提纯新方法,提出小波精细积分提纯算法。数值结果表明,小波精细积分法可有效滤除信号中的噪声,且消噪之后的信号畸变小,保证了滤波前后信号固有结构不变。Locus of journal center is often employed to analyze the failure of rotor. In fact,there are much more noises exist in the original signal of the locus of journal center,which is against of the precise analysis to the failure to some extent. The partial differential equation method is a newkind of purification technique for the locus of journal center proposed in recent years. Based on this newmethod,the wavelet precise integration algorithm is proposed in this paper. As a matter of fact,the wavelet precise integration method（ WPIM） is an efficient algorithm to solve the partial differential equation for the purification to the locus of journal center. The numerical experiments showthat the proposed method can eliminate the noises in the original signal effectively,and it won＇t change the essential feature of the original signal,this is helpful to improve the correctness of the analysis to the locus of journal center.

关 键 词：轴心轨迹 提纯 小波精细积分 

分 类 号：TH166[机械工程—机械制造及自动化] TG506[金属学及工艺—金属切削加工及机床]