介损在线监测数据趋势提取方法的研究

Study on Trend Extraction Method for On-line Monitoring Data of tanδ

基于介损在线监测数据的变化规律,建立了数据趋势模型,提出了基于小波变换和形态滤波的两种趋势提取方法,两种方法均能有效地克服数据中周期性因素和各种加性噪声的影响,还原数据的基本变化趋势。通过实例验证了这两种方法的有效性。

Based on the regularity of on-line monitoring data of tan?,the trend of the data is modeled.Two methods of wavelet transform and morphological filter used t o extract trend are proposed in this paper.A practical example verifies the effe ctiveness of both methods,which can remove the influences of periodical factors and additional noise among the data,and reproduce the original trend of the da ta sequence.