A Novel Timing Series Calculation Algorithm based on Statistical Extremum for Process Object
Tao Du, Shouning Qu, Zheng Hua · 2017
In this paper, an algorithm for computing timing series among process objects is proposed. The algorithm is designed based on statistical time distance among extremum points of sampling data set which is collected from process industry, and the delay time between any two production links can be calculated, and then the timing series between any two links can be obtained. By a series of experiments, the validity of this algorithm is proved that the algorithm can obtain the delay time interval among production links and the timing series of these links can be calculated.