A process pretrained transformer model for cross-unit fault prognosis in chemical process

Data-driven fault prognosis is critical for chemical process safety, yet its application often faces the challenge of cross-unit transfer problem. Developing reliable deep learning models for new or data-scarce chemical units is often impractical, posing significant operational risks. To address thi...

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Bibliographic Details
Published in:Process safety and environmental protection 2026-03, Vol.208, p.108203, Article 108203
Main Authors: Yang, Borui, Bai, Yiming, Lv, Feiya, Zheng, Jinghe, Qin, Shui, Zhao, Jinsong
Format: Article
Language:English
Subjects:
Chemical process
Cross-unit
Fault prognosis
Process pretrained transformer model
Time-series forecasting
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