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A Fresh Look at Online-to-Offline Measurement Correlation from A Soft-Sensor Perspective

A Fresh Look at Online-to-Offline Measurement Correlation from A Soft-Sensor Perspective

Virtual
Wednesday, December 09, 2026 to Wednesday, December 09, 2026

This paper investigates a regression approach in which the online measurement is used as the regressor, similar to the method used to derive a soft-sensor measurement.

Wednesday, December 09, 2026

1:00pm - 2:00pm ET

Measurements from online sensors often correlate with the corresponding offline measurements from laboratory instruments. Offline laboratory measurements of the same properties are usually the reference measurement. The correlation results adjust online measurements so that the adjusted online measurements match the offline measurements. Conventionally, this correlation analysis uses regression technique that treats the offline reference measurement as an independent variable (regressor).

This paper investigates a regression approach in which the online measurement is used as the regressor, similar to the method used to derive a soft-sensor measurement. The noticeably different results obtained using these approaches are explored and discussed.

 

 

Shih-Chin Chen

Shih-Chin Chen holds a Ph.D. in Control Systems Engineering, as well as bachelor’s and master’s degrees in Mechanical Engineering. He retired from ABB after 36 years of service. During his tenure at ABB, Shih-Chin was responsible for researching and developing a wide range of control solutions for the pulp and paper industry.

Shih-Chin has been a TAPPI member since 1988 and has served in various volunteer roles, including conference track manager, technical chair, and division chair (2010–2012). He was named a TAPPI Fellow in 2011. He has received Jasper Mardon Memorial Prizes, Process Control Best Paper Awards, the Division Leadership and Service Award, and the TAPPI 2019 Gunnar Nicholson Gold Medal Award. He is a lifetime member of TAPPI and IEEE.

 

Introduction to Wet End Chemistry Course

Tuesday, June 01, 2027

This introductory course will provide attendees with a strong foundation in wet end chemistry troubleshooting and optimization best practices. New topics this year include injection systems, process control, biological control and enzymes. The course is designed to help improve product quality, increase machine productivity and reduce costs.
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