Fusion Chaotic Prediction Model for Bearing Performance by Computer Technique

摘要：

　　The delay time and embedding dimension of the rolling bearing vibration time series are different because of different methods.The improved weighted first-order local prediction model(IWFLPM)based on fusion technology is established.The delay time obtained by the mutual information method and the embedding dimension obtained by the Cao method are used to form the parameter pair,and then the parameter pair sequence is constructed.The IWFLPM is used for one-step prediction.Finally,the bootstrap maximum entropy method is used to fuse the prediction result and MATLAB is used to perform all mathematical operations.The experimental results show that the accuracy of the fusion prediction results is significantly better than the IWFLPM,and the optimal delay time and optimal embedding dimension are obtained.

关键词： rolling bearing MATLAB fusion technology

作者: Cheng Li Xia Xin-tao

作者单位: School of Mechanicals and Engineering,Henan University of Science and Technology,Luoyang,Henan,China

会议类型: 国际会议

会议名称: 2018 3rd International Conference on Computer Science and Information Engineering (ICCSIE 2018) 2018第三届计算机科学与信息工程国际会议(ICCSIE 2018)

会议地点: 西安

会议语种:英文

页码: 387-391

在线出版日期: 2018-09-21（万方平台首次上网日期，不代表论文的发表时间）