Outlier detection for the denitrifying post-filtration unit of a municipal wastewater treatment plant: The Viikinmäki case

[1]  Mia Hubert,et al.  ROBPCA: A New Approach to Robust Principal Component Analysis , 2005, Technometrics.

[2]  John W. Tukey,et al.  A Projection Pursuit Algorithm for Exploratory Data Analysis , 1974, IEEE Transactions on Computers.

[3]  Tianyou Chai,et al.  Operating Condition Recognition of Pre-denitrification Bioprocess Using Robust EMPCA and FCM , 2006, 2006 6th World Congress on Intelligent Control and Automation.

[4]  Sam T. Roweis,et al.  EM Algorithms for PCA and SPCA , 1997, NIPS.

[5]  Guoying Li,et al.  Projection-Pursuit Approach to Robust Dispersion Matrices and Principal Components: Primary Theory and Monte Carlo , 1985 .

[6]  John F. MacGregor,et al.  Multivariate SPC charts for monitoring batch processes , 1995 .

[7]  S. Frosch Møller,et al.  Robust methods for multivariate data analysis , 2005 .

[8]  D J Choi,et al.  A hybrid artificial neural network as a software sensor for optimal control of a wastewater treatment process. , 2001, Water research.

[9]  Anthony C. Atkinson,et al.  Exploring Multivariate Data with the Forward Search , 2004 .

[10]  Ricardo A. Maronna,et al.  Principal Components and Orthogonal Regression Based on Robust Scales , 2005, Technometrics.

[11]  Christian Rosén,et al.  A Chemometric Approach to Process Monitoring and Control - With Applications to Wastewater Treatment Operation , 2001 .

[12]  Gilles Mourot,et al.  WWTP diagnosis based on robust principal component analysis , 2009 .

[13]  R M Stuetz,et al.  Non-specific monitoring to resolve intermittent pollutant problems associated with wastewater treatment and potable supply. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.

[14]  M. Hubert,et al.  A fast method for robust principal components with applications to chemometrics , 2002 .

[15]  Daniel Aguado,et al.  Multivariate statistical monitoring of continuous wastewater treatment plants , 2008, Eng. Appl. Artif. Intell..

[16]  Mia Hubert,et al.  Robustness and Outlier Detection in Chemometrics , 2006 .

[17]  Y. Heyden,et al.  Robust statistics in data analysis — A review: Basic concepts , 2007 .