A method of batch process monitoring based on Sliding-time-window weighted MPCA

YU Tao; LI HePing; WANG JianLin; ZHAO LiQiang

Journal of Beijing University of Chemical Technology ›› 2015, Vol. 42 ›› Issue (4) : 112-119.

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Journal of Beijing University of Chemical Technology ›› 2015, Vol. 42 ›› Issue (4) : 112-119.
机电工程和信息科学

A method of batch process monitoring based on Sliding-time-window weighted MPCA

  • YU Tao; LI HePing; WANG JianLin; ZHAO LiQiang
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Abstract

Using the correlation of adjacent data contained in the formation process, we propose a new method involving a sliding-time-window weighted MPCA (SWMPCA) to reduce the effect of the process noise, transitions in the multi-stage process, and other uncertainty factors in the stage of division in batch processes. As a result, the monitoring performance of a batch process is improved. The proposed method of improved MPCA has been employed in the division stage of the penicillin fermentation process and monitoring experiments. The results show that the proposed SWMPCA method is better than conventional MPCA method for batch process monitoring.

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YU Tao; LI HePing; WANG JianLin; ZHAO LiQiang. A method of batch process monitoring based on Sliding-time-window weighted MPCA[J]. Journal of Beijing University of Chemical Technology, 2015, 42(4): 112-119

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