Low Cycle Fatigue Damage Prediction of Steam Turbine Rotor Based on Dynamic PLS

摘要：

　　This paper establishes the prediction model of low cycle fatigue damage of steam turbine rotor using the rich data from finite element analysis.In order to monitor the damage,a multiple regression analysis of input data/output data with high correlation is made via dynamic PLS.The variation of the process parameters is extracted and it restrains the multiple dependency of the several parameters in different time series.Finally,a simulation of rolling process of a domestic 300MW turbine unit validates the effectiveness and accuracy of the prediction model based on dynamic PLS.

关键词： Steam Turbine Low Cycle Fatigue Damage Dynamic Partial Least Square Life Extending Control

作者: SUN Yong-Jian HU Li-Sheng

作者单位: Department of Automation,Shanghai Jiao Tong University,Key Laboratory of System Control and Information Processing,Ministry of Education of China,Shanghai 200240,P.R.China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 6792-6797

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）