[1] WISE B M, GALLAGHER N B, BUTLER S W, et al. A comparison of principal component analysis, multiway principal component analysis, trilinear decomposition and parallel factor analysis for fault detection in a semiconductor etch process[J]. Journal of Chemometrics, 1999,13(3-4):379-396.
[2] HU Y, MA H H, SHI H B. Enhanced batch process monitoring using just-in-time-learning based kernel partial least squares[J]. Chemometrics and Intelligent Laboratory Systems, 2013,123(3):15-27.
[3] YAN Z B, HUANG B L, YAO Y. Multivariate statistical process monitoring of batch-to-batch startups[J]. AIChE Journal, 2015,61(11):3719-3727.
[4] WANG J L, LIU W M, QIU K P, et al. Dynamic hypersphere based support vector data description for batch process monitoring[J]. Chemometrics and Intelligent Laboratory Systems, 2018,172(2018):17-32.
[5] GE Z Q, SONG Z H, GAO F R. Review of recent research on data-based process monitoring[J]. Industrial & Engineering Chemistry Research, 2013,52(10):3543-3562.
[6] WANG J, WEI H T, CAO L, et al. Soft-transition sub-PCA fault monitoring of batch processes[J]. Industrial & Engineering Chemistry Research, 2013,52(29):9879-9888.
[7] LV Z M, YAN X F. Hierarchical support vector data description for batch process monitoring[J]. Industrial & Engineering Chemistry Research, 2016,55(34):9205-9214.
[8] ZHAO C H. Concurrent phase partition and between-mode statistical analysis for multimode and multiphase batch process monitoring[J]. AIChE Journal, 2014,60(2):559-573.
[9] 张子羿,胡益,侍洪波. 一种基于聚类方法的多阶段间歇过程监控方法[J]. 化工学报, 2013,64(12):4522-4528.
[10]LUO L J, BAO S Y, MAO J F, et al. Fuzzy phase partition and hybrid modeling based quality prediction and process monitoring methods for multiphase batch processes[J]. Industrial & Engineering Chemistry Research, 2016,55(14):4045-4058.
[11]LU N Y, GAO F R, WANG F L. Sub-PCA modeling and online monitoring strategy for batch processes[J]. AIChE Journal, 2004,50(1):255-259.
[12]ZHAO C H, SUN Y X. Step-wise sequential phase partition (SSPP) algorithm based statistical modeling and online process monitoring[J]. Chemometrics and Intelligent Laboratory Systems, 2013,125(5):109-120.
[13]QIN Y, ZHAO C H, GAO F R. An iterative two-step sequential phase partition (ITSPP) method for batch process modeling and online monitoring[J]. AIChE Journal, 2016,62(7):2358-2373.
[14]HARSHMAN R A. PARAFAC2: Mathematical and technical notes[J]. UCLA Working Papers in Phonetics, 1972,22:30-44.
[15]AMIGO J M, POPIELARZ M J, CALLEJN R M, et al. Comprehensive analysis of chromatographic data by using PARAFAC2 and principal components analysis[J]. Journal of Chromatography A, 2010,1217(26):4422-4429.
[16]HELWIG N E. Estimating latent trends in multivariate longitudinal data via Parafac2 with functional and structural constraints[J]. Biometrical Journal, 2017,59(4):783-803.
[17]SKOV T, BRO R. A new approach for modelling sensor based data[J]. Sensors and Actuators B: Chemical, 2005,106(2):719-729.
[18]EBRAHIMI D, LI J, HIBBERT D B. Classification of weathered petroleum oils by multi-way analysis of gas chromatography-mass spectrometry data using PARAFAC2 parallel factor analysis[J]. Journal of Chromatography A, 2007,1166(1-2):163-170.
[19]LOUWERSE D J, SMILDE A K. Multivariate statistical process control of batch processes based on three-way models[J]. Chemical Engineering Science, 2000,55(7):1225-1235.
[20]MATERO S, POUTIAINEN S, LESKINEN J, et al. Monitoring the wetting phase of fluidized bed granulation process using multi-way methods: The separation of successful from unsuccessful batches[J]. Chemometrics and Intelligent Laboratory Systems, 2009,96(1):88-93.
[21]LUO L J, BAO S Y, MAO J F, et al. Phase partition and phase-based process monitoring methods for multiphase batch processes with uneven durations[J]. Industrial & Engineering Chemistry Research, 2016,55(7):2035-2048.
[22]KIERS H A L, TEN BERGE J M F, BRO R. PARAFAC2-Part I. A direct fitting algorithm for the PARAFAC2 model[J]. Journal of Chemometrics, 1999,13(3-4):275-294.
[23]WANG L, SHI H B. Multivariate statistical process monitoring using an improved independent component analysis[J]. Chemical Engineering Research and Design, 2010,88(4):403-414.
[24]YAO M, WANG H G. On-line monitoring of batch processes using generalized additive kernel principal component analysis[J]. Journal of Process Control, 2015,28:56-72.
[25]HOSSEINI S M S, MALEKI A, GHOLAMIAN M R. Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty[J]. Expert Systems with Applications, 2010,37(7):5259-5264.
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