Abstract

This paper presents a process classification model based oil time series data segmentation, segment classification to identify micro behaviors and behaviors' integration to identify the way the process is transforming. This approach has been successfully employed in different engineering domains and tasks such as predicting failures in oil process plant, reconstructing trajectories in air traffic control and identifying interaction scenarios in mobile robotic environment."