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发布时间：2024-08-27
论文类型：期刊论文
论文编号：394589
发表时间：2024-09-18
发表刊物：ISA TRANSACTIONS
卷号：152
页面范围：408-426
ISSN号：0019-0578
关键字：KPCA; STATE; SYSTEM
DSTN: Dynamic Spatio-Temporal Network for Early Fault Warning in Chemical Processes
Evaluating and Predicting Energy Efficiency Using Slow Feature Partial Least Squares Method for Large-scale Chemical Plants
