.png){kind=icon}
.png){kind=icon}
Return
Batch Trajectory Synchronization with Robust Derivative Dynamic Time Warping
.png){kind=icon}
PRE
AI
DOI：10.1021/ie303310c.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The issue of dynamic batch profile synchronization is addressed. By converting synchronization into a dynamic optimization problem, dynamic time warping (DTW) and derivative DTW:(DDTW) show the best performance by far. To deal With the singularity point and numerical derivative estimation problems Of DTW and DDTW in the presence of noise, a robust DDTW algorithm is proposed by combining the Savitzky-Golay filter and DDTW algorithm together. A comparative analysis of robust DDTW and available methods is performed on simulated and real chemical plant data.
Keywords:
PRINCIPAL COMPONENT ANALYSIS
STATISTICAL PROCESS-CONTROL
DIFFERENTIATION
Journal
I
IF:
3.9
Papers:
4.0W
Citations:
9.6W