A new soft sensing method based on serial-parallel GRU with self-attention mechanism for complex multi-unit industrial processes

Peng, Kaixiang, Wang, Guanyao, Li, Tie, Zhang, Qichun and Dong, Jie (2025) A new soft sensing method based on serial-parallel GRU with self-attention mechanism for complex multi-unit industrial processes. ISA Transactions. ISSN 0019-0578

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Abstract

With the deep digital transformation of traditional manufacturing industry and the continuous automation level improvement of production line, it is more important to predict the Key Performance Indicators (KPIs) of processes in a timely and accurate manner. The traditional laboratory destructive test method for obtaining KPIs consumes a large amount of time and incurs high costs, which not only fails to provide timely and effective guidance for production processes but also results in significant losses for manufacturing enterprises. To address these issues, an online prediction soft sensor model for KPIs based on a serial-parallel gated recurrent unit with self-attention mechanism (SPGRU-SA) soft sensor model is proposed. This model achieves accurate online prediction of KPIs by considering both the dynamic features of multi-unit and the process set-up static features. First, a serial-parallel gated recurrent unit model is designed to extract multi-unit dynamic features. Second, based on the self-attention mechanism, the attention weights of static features and dynamic features are calculated, which can reflect the correlation of the performance indicators. Then, the fully connected layers output the result. Finally, the comparative experimental results based on the hot rolling strip mill process and the Tennessee Eastman process show that SPGRU-SA can accurately predict the KPIs of complex multi-unit industrial processes.

Item Type:	Article
Additional Information:	** Article version: AM ** Embargo end date: 31-12-9999 ** From Elsevier via Jisc Publications Router ** History: accepted 21-08-2025; issued 25-08-2025. ** Licence for AM version of this article: This article is under embargo with an end date yet to be finalised.
SWORD Depositor:	JISC Router
Depositing User:	JISC Router
Date Deposited:	12 Sep 2025 12:13
Last Modified:	16 Sep 2025 10:38
URI:	https://bnu.repository.guildhe.ac.uk/id/eprint/20619

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