A method for the early prediction of abnormal conditions in chemical processes combined with physical knowledge and the data-driven model
- Resource Type
- Article
- Source
- In
Journal of Loss Prevention in the Process Industries December 2023 86 - Subject
- Language
- ISSN
- 0950-4230