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Journal articles
Predictive advisory solutions for chemistry management, control, and optimization, TAPPI Journal March 2025
ABSTRACT: Process runnability and end-product quality in paper and board making are often connected to chemistry. Typically, monitoring of the chemistry status is based on a few laboratory measurements and a limited number of online specific chemistry-related measurements. Therefore, mill personnel do not have real-time transparency of the chemistry related phenomena, which can cause production instability, including deposition, higher chemical consumption, quality issues in the end-product and runnability problems. Machine learning techniques have been used to establish soft sensor models and to detect abnormalities. Furthermore, these soft sensors prove to be most useful when combined with expert-driven interpretation. This study is aimed at utilizing a hybrid solution comprising chemistry and physics models and machine learning models for stabilizing chemistry-related processes in paper and board production. The principal idea is to combine chemistry/physics models and machine learning models in a fashion close to white box modeling. A cornerstone in the approach is to formulate explanations of the findings from the models; that is, to explain in plain text what the findings mean and how operational changes can mitigate the identified risks. The approach has been demonstrated for several different applications, including deposit control in the wet end, both raw water treatment and usage, and wastewater treatment. This approach provides mill personnel with knowledge of identified phenomena and recommendations on how to stabilize chemistry-related processes. Instead of using close to black box machine learning models, a hybrid solution including chemistry/physics models can enhance the performance of artificial intelligence (AI) deployed systems. A successful way of gaining the trust from mill personnel is by creating a plain text explanation of the findings from the hybrid models. The correlation between the likelihood of a phenomena and disturbance and the explanations are derived and validated by application and chemistry and physics experts.
Journal articles
Viewpoint:A fire extinguisher for U.S. forest, Solutions! [03JULSO06.pdf]
A fire extinguisher for u.s. forests, Solutions!, July 2003, Vol. 86(7) (81KB)
Journal articles
Reliability and Maintenance: Can two Plus two equals eight? SOLUTIONS! July 2003 [03JULSO09.pdf]
Can two plus two equal eight, Solutions!, July 2003, Vol. 86(7) (148KB)
Journal articles
Four Minute Focus: OSHA's new approach to workplace safety, July 2003 Solutions! [03JULSO21.pdf]
OSHA’s new approach to workplace safety, Solutions!, July 2003, Vol. 86(7) (114KB)
Journal articles
Calenders, rolls and covers: New materials for improved performance, Solutions!, June 2003, Vol. 86(6)
Calenders, rolls and covers: new materials for improved performance, Solutions!, June 2003, Vol. 86(6) (58KB)
Journal articles
Nano-synergy boosts printing performance, Solutions!, March 2003, Vol. 86(3) (101KB)
Nano-synergy boosts printing performance, Solutions!, March 2003, Vol. 86(3) (101KB)
Journal articles
Mill Profile: Kruger Builds for the Future at Wayagamack, May 2003 SOLUTIONS! [03MAYSO26.pdf]
Kruger builds for the future at wayagamack, Solutions!, May 2003, Vol. 86(5) (427KB)
Journal articles
COATING: Coating 2003 a research review, MAY 2003 SOLUTIONS! [03MAYSO34.pdf]
Coating 2003: a research review, Solutions!, May 2003, Vol. 86(5) (218KB)
Journal articles
Four Minute Focus: From Management to Leadership, SOLUTIONS! May 2003 [03MAYSO39.pdf]
From management to leadership, Solutions!, May 2003, Vol. 86(5) (100KB)
Journal articles
Four Minute Focus: The Next Step for Manufacturing Reliability, SOLUTIONS! May 2003 [03MAYSO40.pdf]
The next step for manufacturing reliability: surveying our industry, Solutions!, May 2003, Vol. 86(5) (90KB)