Fault Detection and Root Cause Analysis of a Batch Process via Novel Nonlinear Dissimilarity and Comparative Granger Causality Analysis
Author:
Affiliation:
1. Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China
2. Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan
Funder
National Taipei University of Technology
Ministry of Science and Technology of the People's Republic of China
University of Science and Technology Beijing
State Key Laboratory of rolling and automation, Northeastern University
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.9b04471
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1. Data-Driven Soft-Sensor Modeling for Product Quality Estimation Using Case-Based Reasoning and Fuzzy-Similarity Rough Sets
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