A geometric method for batch data visualization, process monitoring and fault detection. (July 2018)

• Record Type: Journal Article
• Authors: Wang, Ray; Edgar, Thomas F.; Baldea, Michael; Nixon, Mark; Wojsznis, Willy; Dunia, Ricardo
• Is Part Of: Journal of process control. Volume 67(2018)
• Page Start: 197
• Page End: 205
• Publication Date: 2018-07
• Subjects: Batch processes -- Process monitoring -- Data visualization -- Fault detection; Process control -- Periodicals; Fabrication -- Contrôle -- Périodiques; Process control; Periodicals; Electronic journals; 660.281
• DOI: 10.1016/j.jprocont.2017.05.011
• Languages: English
• ISSNs: 0959-1524

Abstract

Abstract: Batch processing is used extensively in the production of high value products, and there are strong economic incentives for developing methodologies for ensuring the successful completion of batches via process monitoring and fault detection. Building on our previous work using time-explicit Kiviat diagrams for continuous processes, this paper introduces data visualization, data-driven process monitoring and fault detection for batch systems. Handling batch data, including unfolding and alignment are addressed as well. The proposed methodology is demonstrated on data obtained from a benchmark bioreactor simulator and a semiconductor etching process.