[1] Nomikos P, MacGregor JF. Monitoring batch process using multi-way principle component analysis. Journal of AICHE, 1994, 40 (8):1361~1369

[2] Shah SL, Randy M, Takada H, et al. Modelling and control of a tubular reactor: A PCA-based approach. In: Proceedings of the 5^th IFAC Symposium on Dynamics and Control of Process Systems. Corfu, Greece, 1998. 17~22

[3] Lakshminarayanan S, Guidi RD, Shah SL, et al. Monitoring batch processes using multivariate statistical tools: extensions and practical issues. IFAC Triennial World Cong. San Francisco, 1996. 241~246

[4] Kourti T, MacGregor JF. Multivariate SPC methods for process and product monitoring. Journal of Quality Technology, 1996,28(4):409~427

[5] Kassidas A, MacGregor, et al. Synchronization of batch trajectories using dynamic time warping. Journal of AIChE, 1998, 44 (4): 864~875

[6] Chen JH, Liu JL. Post analysis on different operating time Processes using orthonormal function approximation and multiway principle component analysis. Journal of Process Control, 2000,10 (5):411~418

[7] Chen JH, Liu JL. Multivariate calibration models based on functional space and partial least square for batch processes. IFAC (ChemFas-4) Conference. Chejudo, Korea, 2001. 161~166

[8] Jiang TH, et al. Fault detection and diagnosis in industrial systems. China Machine Press, 2003

[9] Zhang J,Yang XH. Multivariable statistal process control. Chemical Industrial Publication House, 2000