Data-Based Techniques Focused on Modern Industry: An Overview

TLDR

Data‑based techniques, rapidly developed over the past two decades, leverage vast process data to extract useful information and provide efficient alternatives to model‑based approaches across diverse industrial sectors. This paper reviews and summarizes recent achievements in data‑based techniques for modern industrial applications, offering a reference for future academic and practical work. The authors outline the evolution of data‑based techniques over two decades and introduce measurement‑only and model‑data integrated methodologies. Recent developments focus on monitoring and control, with emerging trends and potential application fields discussed.

Abstract

This paper provides an overview of the recent developments in data-based techniques focused on modern industrial applications. As one of the hottest research topics for complicated processes, the data-based techniques have been rapidly developed over the past two decades and widely used in numerous industrial sectors nowadays. The core of data-based techniques is to take full advantage of the huge amounts of available process data, aiming to acquire the useful information within. Compared with the well-developed model-based approaches, data-based techniques provide efficient alternative solutions for different industrial issues under various operating conditions. The main objective of this paper is to review and summarize the recent achievements in data-based techniques, especially for complicated industrial applications, thus providing a referee for further study on the related topics both from academic and practical points of view. This paper begins with a brief evolutionary overview of data-based techniques in the last two decades. Then, the methodologies only based on process measurements and the model-data integrated techniques will be further introduced. The recent developments for modern industrial applications are, respectively, presented mainly from perspectives of monitoring and control. The new trends of data-based technique as well as potential application fields are finally discussed.