Adaptive Online Multivariate Signal Extraction With Locally Weighted Robust Polynomial Regression

Klanderman, Molly C.; Lee, Junho; Villez, Kris; Cath, Tzahi Y.; Hering, Amanda S.

doi:10.1080/26941899.2023.2200856

Title: Adaptive Online Multivariate Signal Extraction With Locally Weighted Robust Polynomial Regression

Journal Article · 09 May 2023 · Data Science in Science

DOI: https://doi.org/10.1080/26941899.2023.2200856 · OSTI ID:1973155

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Department of Statistical Science, Baylor University, Waco, Texas, USA
Oak Ridge National Laboratory, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, Colorado, USA

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Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1973155

Alternate ID(s):: OSTI ID: 1975374

Journal Information:: Data Science in Science, Journal Name: Data Science in Science Journal Issue: 1 Vol. 2; ISSN 2694-1899

Publisher:: Informa UK LimitedCopyright Statement

Country of Publication:: United States

Language:: English

References (31)

A general-purpose method for Pareto optimal placement of flow rate and concentration sensors in networked systems – With application to wastewater treatment plants Villez, Kris; Vanrolleghem, Peter A.; Corominas, Lluís Computers & Chemical Engineering, Vol. 139 https://doi.org/10.1016/j.compchemeng.2020.106880	journal	August 2020
Real-time signal processing by adaptive repeated median filters Schettlinger, K.; Fried, R.; Gather, U. International Journal of Adaptive Control and Signal Processing https://doi.org/10.1002/acs.1105	journal	January 2009
Case studies in real-time fault isolation in a decentralized wastewater treatment facility Klanderman, Molly C.; Newhart, Kathryn B.; Cath, Tzahi Y. Journal of Water Process Engineering, Vol. 38 https://doi.org/10.1016/j.jwpe.2020.101556	journal	December 2020
Multivariate statistical monitoring of continuous wastewater treatment plants Aguado, Daniel; Rosen, Christian Engineering Applications of Artificial Intelligence, Vol. 21, Issue 7 https://doi.org/10.1016/j.engappai.2007.08.004	journal	October 2008
Multivariate Real-Time Signal Extraction by a Robust Adaptive Regression Filter Borowski, Matthias; Schettlinger, Karen; Gather, Ursula Communications in Statistics - Simulation and Computation, Vol. 38, Issue 2 https://doi.org/10.1080/03610910802514972	journal	January 2009
Comparison of linear and nonlinear dimension reduction techniques for automated process monitoring of a decentralized wastewater treatment facility Kazor, Karen; Holloway, Ryan W.; Cath, Tzahi Y. Stochastic Environmental Research and Risk Assessment, Vol. 30, Issue 5 https://doi.org/10.1007/s00477-016-1246-2	journal	April 2016
Data Reconciliation for Wastewater Treatment Plant Simulation Studies-Planning for High-Quality Data and Typical Sources of Errors Rieger, Leiv; Takács, Imre; Villez, Kris Water Environment Research, Vol. 82, Issue 5 https://doi.org/10.2175/106143009X12529484815511	journal	May 2010
Point Location Berg, Mark; Cheong, Otfried; Kreveld, Marc Computational Geometry https://doi.org/10.1007/978-3-540-77974-2_6	book	January 2008
Robust online signal extraction from multivariate time series Lanius, Vivian; Gather, Ursula Computational Statistics & Data Analysis, Vol. 54, Issue 4 https://doi.org/10.1016/j.csda.2009.10.009	journal	April 2010
New Results in Linear Filtering and Prediction Theory Kalman, R. E.; Bucy, R. S. Journal of Basic Engineering, Vol. 83, Issue 1 https://doi.org/10.1115/1.3658902	journal	March 1961
Robust M–M unscented Kalman filtering for GPS/IMU navigation Yang, Cheng; Shi, Wenzhong; Chen, Wu Journal of Geodesy, Vol. 93, Issue 8 https://doi.org/10.1007/s00190-018-01227-5	journal	January 2019
Robust Statistics Huber, Peter J.; Ronchetti, Elvezio M. John Wiley & Sons, Inc https://doi.org/10.1002/9780470434697	book	January 2009
Robust filters for intensive care monitoring: beyond the running median / Robuste Filter für intensivmedizinisches Monitoring: mehr als ein gleitender Median Schettlinger, Karen; Fried, Roland; Gather, Ursula Biomedizinische Technik/Biomedical Engineering, Vol. 51, Issue 2 https://doi.org/10.1515/BMT.2006.010	journal	July 2006
Robust Kalman Filter Based on a Generalized Maximum-Likelihood-Type Estimator Gandhi, Mital A.; Mili, Lamine IEEE Transactions on Signal Processing, Vol. 58, Issue 5 https://doi.org/10.1109/TSP.2009.2039731	journal	May 2010
Robust Cubature Kalman Filter for Dynamic State Estimation of Synchronous Machines Under Unknown Measurement Noise Statistics Li, Yang; Li, Jing; Qi, Junjian IEEE Access, Vol. 7 https://doi.org/10.1109/ACCESS.2019.2900228	journal	January 2019
New extension of the Kalman filter to nonlinear systems Julier, Simon J.; Uhlmann, Jeffrey K. AeroSense '97, SPIE Proceedings https://doi.org/10.1117/12.280797	conference	July 1997
Data-driven performance analyses of wastewater treatment plants: A review Newhart, Kathryn B.; Holloway, Ryan W.; Hering, Amanda S. Water Research, Vol. 157 https://doi.org/10.1016/j.watres.2019.03.030	journal	June 2019
A New Approach to Linear Filtering and Prediction Problems Kalman, R. E. Journal of Basic Engineering, Vol. 82, Issue 1 https://doi.org/10.1115/1.3662552	journal	March 1960
Adding realism to simulated sensors and actuators Rosen, C.; Rieger, L.; Jeppsson, U. Water Science and Technology, Vol. 57, Issue 3 https://doi.org/10.2166/wst.2008.130	journal	February 2008
Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics Evensen, Geir Journal of Geophysical Research, Vol. 99, Issue C5 https://doi.org/10.1029/94JC00572	journal	January 1994
Transforming data into knowledge for improved wastewater treatment operation: A critical review of techniques Corominas, Ll.; Garrido-Baserba, M.; Villez, K. Environmental Modelling & Software, Vol. 106 https://doi.org/10.1016/j.envsoft.2017.11.023	journal	August 2018
Multivariate and multiscale monitoring of wastewater treatment operation Rosen, C.; Lennox, J. A. Water Research, Vol. 35, Issue 14 https://doi.org/10.1016/S0043-1354(01)00069-0	journal	October 2001
A robust version of Schwarz information criterion based on LTS Saleh, Shokrya; Hamzah, Nor Aishah; Yunus, Rossita M. AIP Conference Proceedings https://doi.org/10.1063/1.4887721	conference	January 2014
M-estimator-based robust Kalman filter for systems with process modeling errors and rank deficient measurement models Chang, Guobin; Liu, Ming Nonlinear Dynamics, Vol. 80, Issue 3 https://doi.org/10.1007/s11071-015-1953-0	journal	March 2015
Online signal extraction by robust regression in moving windows with data-adaptive width selection Borowski, Matthias; Fried, Roland Statistics and Computing, Vol. 24, Issue 4 https://doi.org/10.1007/s11222-013-9391-7	journal	April 2013
Experimental design for evaluating WWTP data by linear mass balances Le, Quan H.; Verheijen, Peter J. T.; van Loosdrecht, Mark C. M. Water Research, Vol. 142 https://doi.org/10.1016/j.watres.2018.05.026	journal	October 2018
Weighted Repeated Median Smoothing and Filtering Fried, Roland; Einbeck, Jochen; Gather, Ursula Journal of the American Statistical Association, Vol. 102, Issue 480 https://doi.org/10.1198/016214507000001166	journal	December 2007
Robust Locally Weighted Regression and Smoothing Scatterplots Cleveland, William S. Journal of the American Statistical Association, Vol. 74, Issue 368 https://doi.org/10.1080/01621459.1979.10481038	journal	December 1979
Structural redundancy of data from wastewater treatment systems. Determination of individual balance equations Spindler, A. Water Research, Vol. 57 https://doi.org/10.1016/j.watres.2014.03.042	journal	June 2014
Dynamic mass balancing for wastewater treatment data quality control using CUSUM charts Spindler, A.; Vanrolleghem, P. A. Water Science and Technology, Vol. 65, Issue 12 https://doi.org/10.2166/wst.2012.125	journal	June 2012
Instrumentation, control and automation in wastewater – from London 1973 to Narbonne 2013 Olsson, G.; Carlsson, B.; Comas, J. Water Science and Technology, Vol. 69, Issue 7 https://doi.org/10.2166/wst.2014.057	journal	January 2014

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