Hierarchical monitoring of industrial processes for fault detection, fault grade evaluation, and fault diagnosis
Author:
Affiliation:
1. Institute of Process Equipment and Control Engineering; Zhejiang University of Technology; Hangzhou 310014 China
2. Dept. of Chemical and Biomolecular Engineering; University of Delaware; Newark DE 19716
Funder
National Natural Science Foundation of China
Publisher
Wiley
Subject
General Chemical Engineering,Environmental Engineering,Biotechnology
Reference17 articles.
1. Monitoring batch processes using multiway principal component analysis;Nomikos;AIChE J.,1994
2. Nonlinear process monitoring using data-dependent kernel global-local preserving projections;Luo;Ind Eng Chem Res.,2015
3. A review of process fault detection and diagnosis Part I: quantitative model-based methods;Venkatasubramanian;Comput Chem Eng.,2003
4. A review of process fault detection and diagnosis Part II: qualitative models and search strategies;Venkatasubramanian;Comput Chem Eng.,2003
5. Review of recent research on data-based process monitoring;Ge;Ind Eng Chem Res.,2013
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