A dynamic soft sensor of industrial fuzzy time series with propositional linear temporal logic

作者：

Highlights：

• We propose a dynamic fuzzy time series model combined with sliding window.

• The fuzzy relationship matrix is changed as the window slides.

• Based on PLTL, we propose a method to determine the trend of data.

• We combine the dynamic model with trend determination to model time series data.

摘要

•We propose a dynamic fuzzy time series model combined with sliding window.•The fuzzy relationship matrix is changed as the window slides.•Based on PLTL, we propose a method to determine the trend of data.•We combine the dynamic model with trend determination to model time series data.

论文关键词：Industrial data,Dynamic forecasting,Propositional linear temporal logic

论文评审过程：Received 8 April 2021, Revised 11 March 2022, Accepted 1 April 2022, Available online 4 April 2022, Version of Record 15 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117176