Enhanced high‐order information extraction for multiphase batch process fault monitoring
Author:
Affiliation:
1. Faculty of Information Technology Beijing University of Technology Beijing China
2. Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China
Publisher
Wiley
Subject
General Chemical Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjce.23763
Reference44 articles.
1. G. J.Cheng L. T.Liu X. J.Qiang Y.Liu presented at ISAI Int. Conf. Hong Kong China June2016.
2. The intelligent industry of the future: A survey on emerging trends, research challenges and opportunities in Industry 4.0
3. Phase Partition and Fault Diagnosis of Batch Process Based on KECA Angular Similarity
4. Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring
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