Functional Data Analysis Approach for Detecting Faults in Cyclic Water and Wastewater Treatment Processes
Author:
Affiliation:
1. Colorado School of Mines, 1500 Illinois Street, Golden, Colorado 80401, United States
2. Baylor University, Waco, Texas 76706, United States
Funder
WateReuse Foundation
Edna Bailey Sussman Foundation
Office of Energy Efficiency and Renewable Energy
Division of Engineering Education and Centers
Publisher
American Chemical Society (ACS)
Subject
Water Science and Technology,Environmental Chemistry,Chemistry (miscellaneous),Chemical Engineering (miscellaneous)
Link
https://pubs.acs.org/doi/pdf/10.1021/acsestwater.3c00061
Reference37 articles.
1. Transforming data into knowledge for improved wastewater treatment operation: A critical review of techniques
2. Data-driven performance analyses of wastewater treatment plants: A review
3. Comparison of linear and nonlinear dimension reduction techniques for automated process monitoring of a decentralized wastewater treatment facility
4. Multistate multivariate statistical process control
5. Fault Detection and Diagnosis using Multivariate Statistical Techniques in a Wastewater Treatment Plant.* *This work was supported in part by the national research agency of Spain (CICYT) through the project DPI2006-15716-C02-02 and the regional government of Castilla y Leon through the project VA052A07
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