Fault diagnosis of Tennessee Eastman process with multi-scale PCA and ANFIS
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Venkatasubramanian, 2003, A review of process fault detection and diagnosis Part I: Quantitative model-based methods, Computers and Chemical Engineering, 27, 293, 10.1016/S0098-1354(02)00160-6
Venkatasubramanian, 2003, A review of process fault detection and diagnosis Part II: Qualitative models and search strategies, Computers and Chemical Engineering, 27, 313, 10.1016/S0098-1354(02)00161-8
Venkatasubramanian, 2003, A review of process fault detection and diagnosis Part III: Process history based methods, Computers and Chemical Engineering, 27, 327, 10.1016/S0098-1354(02)00162-X
Chiang, 2001
Hussain, 1999, Review of the applications of neural networks in process control — simulation and online implementation, Journal for Artificial Intelligence in Engineering, 13, 55, 10.1016/S0954-1810(98)00011-9
Jamal, 2006, Artificial neural network models applied to chemical engineering: a review, Trends in Chemical Engineering, 10, 1
Patton, 1999, Artificial intelligence approaches to fault diagnosis for dynamical systems, International Journal of Applied Mathematics and Computer Science, 9, 471
Patton, 2000, Soft Computing Approaches to Fault Diagnosis for Dynamical Systems: a Survey, 298
Watanabe, 1989, Incipient fault diagnosis of chemical processes via artificial neural networks, AICHE Journal, 35, 1803, 10.1002/aic.690351106
Sorsa, 1991, Neural networks in process fault diagnosis, IEEE Transactions on Systems, Man, and Cybernetics, 21, 815, 10.1109/21.108299
Fan, 1993, An approach to fault diagnosis of chemical process via neural networks, AICHE Journal, 39, 82, 10.1002/aic.690390109
Hussain, 2007, Application of artificial intelligence technique in process fault diagnosis, Journal of Engineering Science and Technology, 2, 260
Bocaniala, 2006, Computational intelligence methodologies in fault diagnosis: review and state of the art, 1
Calado, 2006, Fuzzy neural networks applied to fault diagnosis, 305
Kok, 2006, Fault diagnosis in a power generation plant using a neural fuzzy system with rule extraction, 287
Lau, 2010, Fault diagnosis of the polypropylene production process (UNIPOL PP) using ANFIS, ISA Transactions, 49, 559, 10.1016/j.isatra.2010.06.007
Chiang, 2000, Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares and principal component analysis, Chemometrics and Intelligent Laboratory Systems, 50, 243, 10.1016/S0169-7439(99)00061-1
Russell, 2000, Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis, Chemometrics and Intelligent Laboratory Systems, 51, 81, 10.1016/S0169-7439(00)00058-7
Xiong, 2007, Multivariate statistical process monitoring of an industrial polypropylene catalyzer reactor with principal component analysis and kernel density estimation, Chinese Journal of Chemical Engineering, 15, 524, 10.1016/S1004-9541(07)60119-0
Akhlaghi, 2008, Intelligent Fault Diagnosis of Distillation Column System Based on PCA and Multiple ANFIS, 905
Akhlaghi, 2008, Complex dynamical system fault diagnosis based on multiple ANFIS using independent component, 1798
Pittner, 1999, Feature extraction from wavelet coefficients for pattern recognition tasks, IEEE Transactions on Pattern Analysis and Machine Intelligence, 21, 83, 10.1109/34.745739
Lou, 2004, fault diagnosis based on wavelet transform and fuzzy inference, Mechanical Systems and Signal Processing, 18, 1077, 10.1016/S0888-3270(03)00077-3
Saravanan, 2010, Incipient gear box fault diagnosis using discrete wavelet rransform (DWT) for feature extraction and classification using artificial neural network (ANN), Expert Systems with Applications, 37, 4168, 10.1016/j.eswa.2009.11.006
Bakshi, 1996, Compression of chemical process data by functional approximation and feature extraction, AICHE Journal, 42, 477, 10.1002/aic.690420217
Bakshi, 1998, Multiscale PCA with applications to multivariate statistical process monitoring, AICHE Journal, 44, 1596, 10.1002/aic.690440712
Misra, 2002, Multivariate process monitoring and fault diagnosis by multi-scale PCA, Computers and Chemical Engineering, 26, 1281, 10.1016/S0098-1354(02)00093-5
Wang, 2005, Robust multi-scale principal components analysis with applications to process monitoring, Journal of Process Control, 15, 869, 10.1016/j.jprocont.2005.04.001
Downs, 1993, A plant-wide industrial process control problem, Computers and Chemical Engineering, 17, 245, 10.1016/0098-1354(93)80018-I
Liu, 2000, Nonlinear dynamic principal component analysis for on-line process monitoring and diagnosis, Computers and Chemical Engineering, 24, 423, 10.1016/S0098-1354(00)00433-6
Lee, 2004, Statistical monitoring of dynamic processes based on dynamic independent component analysis, Chemical Engineering Science, 59, 2995, 10.1016/j.ces.2004.04.031
Kano, 2006, Comparison of multivariate statistical process monitoring methods with applications to the Eastman challenge problem, Computers and Chemical Engineering, 26, 161, 10.1016/S0098-1354(01)00738-4
Lin, 2000, Nonlinear dynamic principal component analysis for on-line process monitoring and diagnosis, Computers and Chemical Engineering, 24, 423, 10.1016/S0098-1354(00)00433-6
Akbaryan, 2001, Fault diagnosis of multivariate systems using pattern recognition and multisensor analysis technique, Computers and Chemical Engineering, 25, 1313, 10.1016/S0098-1354(01)00701-3
Maurya, 2005, Fault diagnosis by qualitative trend analysis of the principal components, Chemical Engineering Research and Design, 83, 1122, 10.1205/cherd.04280
Odiowei, 2010, State-space independent component analysis for nonlinear dynamic process monitoring, Chemometrics and Intelligent Laboratory Systems, 103, 59, 10.1016/j.chemolab.2010.05.014
Eslamloueyan, 2011, Designing a hierarchical neural network based on fuzzy clustering for fault diagnosis of the Tennessee-Eastman process, Applied Soft Computing, 11, 1407, 10.1016/j.asoc.2010.04.012
Jang, 1993, ANFIS: adaptive-network based fuzzy inference systems, IEEE Transactions on Systems, Man, and Cybernetics, 23, 665, 10.1109/21.256541
Jang, 1997
Kukol, 2002, Desing of adaptive Takagi-Sugeno-Kang fuzzy models, Applied Soft Computing, 89, 10.1016/S1568-4946(02)00032-7
Bachman, 2000
Daubechies, 1990, The wavelet transform, time-frequency localization and signal analysis, IEEE Transactions on Information Theory, 36, 961, 10.1109/18.57199