Fault isolation for a complex decentralized waste water treatment facility
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Tzahi Y. Cath | Amanda S. Hering | Molly C. Klanderman | Kathryn B. Newhart | A. Hering | T. Cath | M. Klanderman
[1] Pierre Perron,et al. Inference on locally ordered breaks in multiple regressions , 2017 .
[2] Si-Zhao Joe Qin,et al. Survey on data-driven industrial process monitoring and diagnosis , 2012, Annu. Rev. Control..
[3] Douglas C. Montgomery,et al. Some Current Directions in the Theory and Application of Statistical Process Monitoring , 2014 .
[4] Jun Li,et al. Construction of an efficient multivariate dynamic screening system , 2017, Qual. Reliab. Eng. Int..
[5] Pavel Krupskii,et al. Copula-based monitoring schemes for non-Gaussian multivariate processes , 2019, Journal of Quality Technology.
[6] Ping Wu,et al. Fault isolation based on Bayesian fused lasso , 2017, 2017 Chinese Automation Congress (CAC).
[7] Tzahi Y Cath,et al. Data-driven performance analyses of wastewater treatment plants: A review. , 2019, Water research.
[8] Tzahi Y. Cath,et al. Multistate multivariate statistical process control , 2018 .
[9] Jiahua Chen,et al. Extended Bayesian information criteria for model selection with large model spaces , 2008 .
[10] Fugee Tsung,et al. A Variable-Selection-Based Multivariate EWMA Chart for Process Monitoring and Diagnosis , 2012 .
[11] Jun Li,et al. Nonparametric dynamic screening system for monitoring correlated longitudinal data , 2016 .
[12] Hao Yan,et al. Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition , 2018, Technometrics.
[13] P. Perron,et al. Estimating and Testing Structural Changes in Multivariate Regressions , 2007 .
[14] S Marsili-Libelli,et al. Real-time fault detection and isolation in biological wastewater treatment plants. , 2009, Water science and technology : a journal of the International Association on Water Pollution Research.
[15] Peihua Qiu,et al. Multivariate Statistical Process Control Using LASSO , 2009 .
[16] A. Hering,et al. Comparison of linear and nonlinear dimension reduction techniques for automated process monitoring of a decentralized wastewater treatment facility , 2016, Stochastic Environmental Research and Risk Assessment.
[17] Nicolas Vayatis,et al. A review of change point detection methods , 2018, ArXiv.
[18] T. McAvoy,et al. Batch tracking via nonlinear principal component analysis , 1996 .
[19] Jian Huang,et al. A Selective Review of Group Selection in High-Dimensional Models. , 2012, Statistical science : a review journal of the Institute of Mathematical Statistics.
[20] Wei Jiang,et al. A LASSO-Based Diagnostic Framework for Multivariate Statistical Process Control , 2011, Technometrics.
[21] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[22] P. Perron,et al. Estimating restricted structural change models , 2006 .
[23] Stelios Psarakis,et al. Multivariate statistical process control charts: an overview , 2007, Qual. Reliab. Eng. Int..
[24] Marian Scott. Increasing population and the environment: how do the numbers stack up? , 2012 .
[25] Dongdong Xiang,et al. Surveillance of cardiovascular diseases using a multivariate dynamic screening system , 2015, Statistics in medicine.
[26] R. Tibshirani,et al. Sparsity and smoothness via the fused lasso , 2005 .
[27] Dongdong Xiang,et al. Univariate Dynamic Screening System: An Approach For Identifying Individuals With Irregular Longitudinal Behavior , 2014, Technometrics.
[28] Giovanna Capizzi,et al. Phase I Distribution-Free Analysis of Multivariate Data , 2013, Technometrics.
[29] R. Tibshirani,et al. The solution path of the generalized lasso , 2010, 1005.1971.
[30] Pekka Malo,et al. Non-parametric Structural Change Detection in Multivariate Systems , 2018, 1805.08512.
[31] Peter A Vanrolleghem,et al. Adaptive Consensus Principal Component Analysis for On-Line Batch Process Monitoring , 2004, Environmental monitoring and assessment.
[32] C. Yoo,et al. Nonlinear process monitoring using kernel principal component analysis , 2004 .
[33] Max G'Sell,et al. Exact post-selection inference for the generalized lasso path , 2018 .
[34] Wei Jiang,et al. High-Dimensional Process Monitoring and Fault Isolation via Variable Selection , 2009 .
[35] H. Zou. The Adaptive Lasso and Its Oracle Properties , 2006 .