Qualitative Representation of Trends (QRT): Extended method for identification of consecutive inflection points

[1]  Jr. G. Forney,et al.  The viterbi algorithm , 1973 .

[2]  Andrew P. Witkin,et al.  Scale-Space Filtering , 1983, IJCAI.

[3]  Y. Meyer,et al.  Wavelets and Filter Banks , 1991 .

[4]  Stéphane Mallat,et al.  Zero-crossings of a wavelet transform , 1991, IEEE Trans. Inf. Theory.

[5]  I. Daubechies.  Ten Lectures on Wavelets , 1992 .

[6]  Y. Meyer.  Wavelets and Operators , 1993 .

[7]  I. Johnstone,et al.  Ideal spatial adaptation by wavelet shrinkage , 1994 .

[8]  Ken J. Hall,et al.  Sludge digestion using ORP-regulated aerobic-anoxic cycles , 1994 .

[9]  Bhavik R. Bakshi,et al.  Representation of process trends—III. Multiscale extraction of trends from process data , 1994 .

[10]  P. A. Vanrolleghem,et al.  OPTIMAL EXPERIMENTAL DESIGN FOR STRUCTURE CHARACTERIZATION OF BIODEGRADATION MODELS: ON-LINE IMPLEMENTATION IN A RESPIROGRAPHIC BIOSENSOR , 1994 .

[11]  Peter A. Vanrolleghem,et al.  Optimal design of in-sensor-experiments for on-line modelling of nitrogen removal processes , 1995 .

[12]  R. R. Rhinehart,et al.  An efficient method for on-line identification of steady state , 1995 .

[13]  Raghunathan Rengaswamy,et al.  A syntactic pattern-recognition approach for process monitoring and fault diagnosis , 1995 .

[14]  Truong Q. Nguyen,et al.  Wavelets and filter banks , 1996 .

[15]  B. Capdeville,et al.  Real-time control of nitrogen removal using three orp bending-points: Signification, control strategy and results , 1996 .

[16]  O. Hao,et al.  Sequencing batch reactor system for nutrient removal : ORP and pH profiles , 1996 .

[17]  Takushi Nishiya,et al.  Application of the intelligent alarm system for the plant operation , 1997 .

[18]  W. Marquardt,et al.  Identification of trends in process measurements using the wavelet transform , 1998 .

[19]  Ruey-Fang Yu,et al.  Applying real-time control to enhance the performance of nitrogen removal in the continuous-flow SBR system , 1998 .

[20]  C. Torrence,et al.  A Practical Guide to Wavelet Analysis. , 1998 .

[21]  R. F. Li,et al.  Combining Conceptual Clustering and Principal Component Analysis for State Space Based Process Monitoring , 1999 .

[22]  D. Mavinic,et al.  Control of a swine manure treatment process using a specific feature of oxidation reduction potential , 1999 .

[23]  Michael E. Tipping,et al.  Probabilistic Principal Component Analysis , 1999 .

[24]  M. Fuerhacker,et al.  Approach for a novel control strategy for simultaneous nitrification/denitrification in activated sludge reactors , 2000 .

[25]  Robert King,et al.  Qualitative modelling for automatic identification of mathematical models of chemical reaction systems , 2001 .

[26]  M Ragazzi,et al.  On-line control of a SBR system for nitrogen removal from industrial wastewater. , 2001, Water science and technology : a journal of the International Association on Water Pollution Research.

[27]  Gülnur Birol,et al.  A modular simulation package for fed-batch fermentation: penicillin production , 2002 .

[28]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part II: Qualitative models and search strategies , 2003, Comput. Chem. Eng..

[29]  Raghunathan Rengaswamy,et al.  A Novel Interval-Halving Framework For Automated Identification of Process Trends , 2004 .

[30]  Ryuichi Sudo,et al.  Integrated real-time control strategy for nitrogen removal in swine wastewater treatment using sequencing batch reactors. , 2004, Water research.

[31]  Y. Peng,et al.  Nitrogen removal from pharmaceutical manufacturing wastewater via nitrite and the process optimization with on-line control. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.

[32]  Sylvie Charbonnier,et al.  Trends extraction and analysis for complex system monitoring and decision support , 2005, Eng. Appl. Artif. Intell..

[33]  P A Vanrolleghem,et al.  Comparison of two wavelet-based tools for data mining of urban water networks time series. , 2007, Water science and technology : a journal of the International Association on Water Pollution Research.

[34]  Kris Villez.  Multivariate and Qualitative Data Analysis for Monitoring, Diagnosis and Control of Sequencing Batch Reactors for Wastewater Treatment , 2007 .

[35]  P A Vanrolleghem,et al.  Qualitative representation of trends: an alternative approach to process diagnosis and control. , 2008, Water science and technology : a journal of the International Association on Water Pollution Research.

[36]  Kris Villez,et al.  Qualitative representation of trends (QRT) as a tool for automated data-driven monitoring of on-line sensors , 2009 .

[37]  Venkat Venkatasubramanian,et al.  Fault diagnosis of a benchmark fermentation process: a comparative study of feature extraction and classification techniques , 2012, Bioprocess and Biosystems Engineering.