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A novel time-delay fuzzy distribution estimation and expression method between the process variables

机译：过程变量之间的新型时滞模糊分布估计和表达方法

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摘要

The time delay between industrial process variables has dynamic characteristics. However, it is quite difficult to estimate and express these dynamic characteristics through traditional methods. In order to deal with this problem, a novel time-delay fuzzy distribution estimation and expression method is presented in this paper. The novel method cuts the target sequence by sliding time window to obtain the target subsequence, then a subsequence that matches the target subsequence by similar calculating in the search sequence can be got, and finally the time-delay sequence information between the two sequences is determined. The fuzzy distribution of the time-delay sequence is calculated by statistical analysis. Then, the improved Data-Driven Fuzzy Time Petri nets (ID-FPNs) are used to describe and express the process information with fuzzy distribution intuitively and effectively. At last, the effectiveness of the method proposed in this paper is validated through a case study.
机译：工业过程变量之间的时间延迟具有动态特性。然而，通过传统方法估计和表达这些动态特征是非常困难的。为了解决这个问题，本文提出了一种新的时滞模糊分布估计和表达方法。该新方法通过滑动时间窗口来获得目标序列以获得目标子序列，然后可以得到通过在搜索序列中类似计算的目标子序列匹配的子序列，最后确定两个序列之间的时延序列信息。通过统计分析计算时滞序列的模糊分布。然后，改进的数据驱动模糊时间Petri网（ID-FPN）用于描述和表达具有模糊分布的过程信息，直观和有效地。最后，通过案例研究验证了本文提出的方法的有效性。

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