化工学报2017，Vol.68Issue(7)：2866-2872,7.DOI:10.11949/j.issn.0438-1157.20161705
基于LWPT-DTW的间歇过程不等长时段数据同步化
LWPT-DTW trajectory synchronization of uneven-length phase data in batch processes
摘要
Abstract
Uneven-length phase data of batch processes directly affect phase modeling accuracy of data-driven multivariate statistical analysis, resulting in reduced process monitoring performance. A trajectory synchronization method of lifting wavelet package transform (LWPT) and dynamic time warping (DTW) was proposed for the uneven-length phase data of batch process. First, LWPT was used to decompose trajectories of uneven-length phase data at multiple levels of high and low frequency and extract complete time-frequency domain information. Secondly, DTW was used to synchronize coefficient matrices at different frequency bands. Finally, inverse LWPT was used to integrate synchronized coefficient matrices, to obtain the even-length phases, and to reduce the impact of the Gibbs phenomenon on data trajectory synthesis. The simulation results of penicillin fermentation batch process show that the new method calculates fast and stable with better accuracy of synchronization, which can provide reliable process data for data-driven phase modeling of batch processes.关键词
不等长时段数据/同步化/提升小波包变换/动态时间规整/间歇过程Key words
uneven-length phase data/trajectory synchronization/lifting wavelet package transform/dynamic time warping/batch process分类
化学化工引用本文复制引用
王建林,刘伟旻,邱科鹏,张维佳,于涛..基于LWPT-DTW的间歇过程不等长时段数据同步化[J].化工学报,2017,68(7):2866-2872,7.基金项目
国家自然科学基金项目(61240047) （61240047）
北京市自然科学基金项目(4152041).supported by the National Natural Science Foundation of China (61240047) and the Natural Science Foundation of Beijing (4152041). （4152041）
