The Application of a Presented Hybrid BFGS-Based Method for Data Analysis in Automation System

作者：Ya-Ping Xu, Pengfei Cao · 年份：2015 · DOI：10.1109/cicn.2015.192 · 被引用次数：2 · 研究领域：Advanced Algorithms and Applications、Fault Detection and Control Systems、Industrial Automation and Control Systems

Operation Data is crucial important for the safe, efficient, environment friendly running of pipeline. Thus data analysis is usually required in order to provide fundamental information of the system. In the paper, experiment data of crude oil pipeline station Automation system has been collected for carrying out analysis. In order to analyze the data, a hybrid BFGS-Based method was brought out to get the fitting curve. The new method has advantages in high precision, fast convergence speed, and well adaptability. By using the new method, results were obtained that the new method have a good performance in dealing with the automation system data processing problem.