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Abstract
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.
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