多元轨迹同步化问题的改进型DTW算法  

IMPROVED DTW ALGORITHMS FOR SYNCHRONIZATION OF BATCH TRAJECTORIES

作　　者：高翔[1] 王纲[2] 赵立杰[2] 马纪虎[1] 

机构地区：[1]中国科学院沈阳自动化研究所,110015 [2]沈阳化工学院,110021

出　　处：《信息与控制》2001年第2期183-188,共6页Information and Control

摘　　要：针对间歇生产过程故障诊断中各批次数据轨迹时间长度不一致 ,导致应用 MPCA/ MPL S准确建模及故障诊断失效的问题 ,本文将动态时间错位 (DTW)算法用于所观测的数据轨迹时间长度的同步化 ;并在此基础上进一步提出了递推式和粗格子点两种 DTW改进算法 .仿真结果表明 ,两种 DTW改进算法能够有效地同步化各批次轨迹 。Modeling and diagnosing using MPCA/MPLS will lose efficiency because of different time length of data trajectories in batch process fault diagnosis. The Dynamic Time Warping (DTW) is used to synchronize the time length of data trajectories observed. Both improved DTW, recursive and coarse-grid points, are proposed. The simulations show that the two methods can not only synchronize data trajectories successfully, but also be applied to on-line fault diagnosis.

关 键 词：动态规划 多元轨迹同步化问题 改进型DTW算法 语音识别 

分 类 号：TN912.34[电子电信—通信与信息系统]