Statistical Test-Based Practical Methods for Detection and Quantification of Stiction in Control Valves
Author:
Affiliation:
1. Department of Chemical and Materials Engineering, University of Alberta, Edmonton T6G 2G6, Alberta, Canada
2. Syncrude Canada Limited, Fort McMurray, Alberta, Canada T9H 3L1
Funder
Natural Sciences and Engineering Research Council of Canada
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.2c03564
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2. Huang, B.; Shah, S. L. Performance Assessment of Control Loops: Theory and Applications; Springer-Verlag: London, 1999; pp 1–275.
3. Jelali, M.; Huang, B. Detection and Diagnosis of Stiction in Control Loops: State of the Art and Advanced Methods; Springer-Verlag: London, 2009; pp 1–389.
4. Valve Stiction Detection and Quantification Using a K-Means Clustering Based Moving Window Approach
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