Research on Operation Stability Deterioration Trend Prediction Faced to Wind Power Group

摘要：

　　A operation stability prediction model faced to wind power equipment group based on Internct of Things(IOT) is research.Its beneficial to improve the operation stability of key equipment group and promote the emerging IOT technology application in equipment maintenance.The prediction model mainly including:based on IOT constructing the system of remote online sample acquisition and operation stabilityprediction; proposing operation trend prediction algorithm based on energy decoupling faced to wind power rotating machinery,realizing of operation trend feature extraction of equipment group; constructing operation stability trend prediction model faced to equipment group.Operation trend feature is used to predict fault trend of wind power in order to ensure safe and stable operation of wind power group.

关键词： Wind power group IOT Feature extraction Energy decoupling Trend prediction

作者: Zhang LeiJiang Xiao Li XU Yun Bo Zuo ZhiJun Zhang

作者单位: School of Mechanical and Vehicle Engineering,Beijing Institute of Technology,Beijing 100081,china School of Mechanical and Vehicle Engineering,Beijing Institute of Technology,Beijing 100081,china;Ke 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 International Conference on Manufacturing Engineering and Automation (2012年制造工程与自动化国际会议(ICMEA2012))

会议地点: 广州

会议语种:英文

页码: 1973-1977

在线出版日期: 2012-11-16（万方平台首次上网日期，不代表论文的发表时间）