Quality-Analysis-Based Process Monitoring for Multi-Phase Multi-Mode Batch Processes

• Main Authors: Luping Zhao, Xin Huang, Hao Yu
• Format: Article
• Language: English
• Published: MDPI AG 2021-07-01
• Series: Processes
• Subjects: multi-phase residual recursive model; multi-mode model; quality prediction; process monitoring
• Online Access: https://www.mdpi.com/2227-9717/9/8/1321

In batch processing, not only the characteristics of different phases are different, but also there may be different characteristics between batches. These characteristics of different phases and batches will have different effects on the final product quality. In order to enhance the safety of batch processes, it is necessary to establish an appropriate monitoring system to monitor the production process based on quality-related information. In this work, based on multi-phase and multi-mode quality prediction, a new quality-analysis-based process-monitoring strategy is developed for batch processes. Firstly, the time-slice models are established to determine the critical-to-quality phases. Secondly, a multi-phase residual recursive model is established using each quality residual of the phase mean models. Subsequently, a new process-monitoring strategy based on quality analysis is proposed for a single mode. After that, multi-mode quality analysis is carried out to judge the relevance between the historical modes and the new mode. Further, online quality prediction is achieved applying the selected model based on multi-mode quality analysis, and an according process-monitoring strategy is developed. The simulation results show the availability of this method for multi-phase multi-mode batch processes.