摘要
单通道预测方法由于获取振动信息不完善,导致预测结果一致性差,从而不能很好地实现故障的预测.通过全矢谱获得的频谱结构具有唯一性的特点,能够很好地弥补单通道的不足,在此基础上,将时序预测方法 ARMA模型与全矢谱技术相结合,提出了全矢-ARMA模型,并把该方法应用到机械振动强度预测研究中.实验表明,该方法预测结果与实际较吻合.
Considering incomplete vibration information that leading to poor consistency of predictive results, single-channel prediction method cannot realize accurate prediction of machine fault. While by obtaining spec- tral structure with unique characteristics, full vector spectrum (FVS) can well make up for the deficiency of single-channel. Further the prediction method of FVS-ARMA model was proposed in this paper, which com- bined ARMA model with full vector spectrum technology. It was applied to predict the mechanical vibration strength. Experiments showed that prediction results of this method were identical to the practical effects.
作者
韩捷
吴彦召
陈磊
郝旺身
张钱龙
HAN Jie WU Yanzhao CHEN Lei HAO Wangshen ZHANG Qianlong(Research Institute of Vibration Engineering, Zhengzhou University, Zhengzhou 450001, China)
出处
《郑州大学学报(工学版)》
CAS
北大核心
2016年第6期43-47,共5页
Journal of Zhengzhou University(Engineering Science)
基金
国家自然科学基金资助项目(51405453)
河南省教育厅科学技术研究重点项目(13A460673)
关键词
全矢谱
ARMA模型
强度预测
信息融合
时序预测方法
full vector spectrum
ARMA model
strength prediction
information fusion
time-series forecas-ting method