Recently, the Vision Transformer (ViT) model has been used for various computer vision
tasks, due to its advantages to extracting long-range features. To better integrate the long …

This paper presents a comprehensive review of the historical development, the current state
of the art, and prospects of data-driven approaches for industrial process monitoring. The …

Large-scale manufacturing processes are usually made up of multiple interrelated and
distributed continuously subprocesses, which are transmitted and connected by information …

In real chemical processes, the collected data is often subject to interference from ambient
environmental noise, resulting in a decline in the detection performance. Although denoising …

A new distributed process monitoring framework is proposed in this paper that aims to
effectively decompose industrial process variables for process monitoring. Existing variable …

In multiunit industrial plant-wide processes, how to simultaneously model the dynamic
correlations within units and the graph-structured interactions between units has not been …

There are often complex correlations among many variables in the industrial process.
Traditional fault detection models often ignore the differences in correlation between …