Denoising of Generator Output Power based on the Wavelet Transform

摘要：

Real-time Generator Output Power is an important parameter in the thermal power which shows the operation status of the adjusting and control equipments. Wavelets are mathematical functions that cut up data into different frequency components, and then study each component with a resolution matched to its scale. In this paper, we used the wavelet transform to do the signal denoising of the Generator Output Power which makes the data curve more easily understood without rapid fluctuation. The wavelet used here was “db3. The structure of multilevel 1-D wavelet in level-5 decomposition was used in the experiment. The results show that the data analysis using wavelet transform can decrease the rapid fluctuation of the data, which make the data mining more easily in the long-time .The method can be widely used in the long-time data storage, research and prediction.

关键词： Thermal Power Wavelet Transform Generator Output Power Denosie

作者: Yang Yang Xiuqin Wang Di Zhang

作者单位: School of Engineering, Bohai University, Liaoning Jinzhou, 121013, China School of Information Science and Technology, Bohai University, Liaoning Jinzhou, 121013, China Liaoning Datang international Jinzhou power generation Co.,ltd, Liaoning Jinzhou, 121001,China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 3319-3322

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）