Studies on Prediction Method of Multi-transform Domains and Non-linear Fault Trend Oriented to Wind Turbine

摘要：

　　Chinese wind power industry is in the ascendant.The hidden fault development trend prediction technology will become increasingly important for improving the efficiency of wind turbines.Faced to the changing condition and non-stationary character of equipment,this paper proposed a data-based multi-transform domains non-linear fault trend prediction technique.The mechanical systems physical information and failure prediction value information was integrated in this technique.Multi-transform domains and non-linear dimensionality reduction method used to analysis equipment working state and extract failure feature of topology domain.This technique try to solve the problem that fault development information is often flooded by irregular state change information.

关键词： multi-transform domains non-linear fault trend prediction

作者: Xiaoli Xu Zhanglei Jiang Yunbo Zuo

作者单位: School of Mechanical and Vehicle Engineering,Beijing Institute of Technology,Beijing 100081,china;Ke School of Mechanical and Vehicle Engineering,Beijing Institute of Technology,Beijing 100081,china Key Laboratory of Modern Measurement & Control Technology,Ministry of Education,Beijing Information

会议类型: 国际会议

会议名称: the 2012 2nd International Conference on Frontiers of Manufacturing Science and Measuring Technology (第二届制造科学与检测技术国际会议(ICFMM 2012))

会议地点: 西安

会议语种:英文

页码: 1154-1157

在线出版日期: 2012-06-12（万方平台首次上网日期，不代表论文的发表时间）