Data-driven predictive probability density function control of fiber length stochastic distribution sha** in refining process

M Li, P Zhou, Y Liu, H Wang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Pulp is the most important raw material in paper industries, whose fiber length stochastic
distribution (FLSD) sha** directly determines the energy consumption and paper quality of …

Nonlinear multiobjective MPC-based optimal operation of a high consistency refining system in papermaking

M Li, P Zhou, H Wang, T Chai - IEEE Transactions on Systems …, 2017 - ieeexplore.ieee.org
As one of the most important unit in the papermaking industry, the high consistency (HC)
refining system is confronted with challenges such as improving pulp quality, energy saving …

Geometric analysis based double closed-loop iterative learning control of output PDF sha** of fiber length distribution in refining process

M Li, P Zhou, H Wang, T Chai - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
In order to improve the pulp quality and to reduce the energy consumption, the fiber length
distribution (FLD) is generally employed as one of the important technological indexes in the …

Data-based robust multiobjective optimization of interconnected processes: energy efficiency case study in papermaking

P Afshar, M Brown, J Maciejowski… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
Reducing energy consumption is a major challenge for “energy-intensive” industries such as
papermaking. A commercially viable energy saving solution is to employ data-based …

Process modelling in pulp and paper manufacture: Application studies with aspects of energy efficiency and product quality

D Ekbåge - 2020 - diva-portal.org
The purpose of this chapter is to briefly guide the reader through industrialization from a
historical perspective and describe the idea of value creation in this thesis. Concepts of …

Soft Sensors for Pulp Freeness and Outlet Consistency Estimation in the Alkaline Peroxide Mechanical Pul** (APMP) High-Consistency Refining Process.

X Zhang, J Li, H Liu, P Zhou - BioResources, 2016 - search.ebscohost.com
In the mechanical pul** process, some process state and product quality variables are
difficult to measure on-line. In this paper, soft sensors were used to estimate Canadian …

Analytical design based hierarchical control for non-square MIMO wood-chip refining process

M Li, P Zhou - ISA transactions, 2019 - Elsevier
This paper presents an analytical design basedhierarchical control method for non-square
MIMO wood-chip refining process, whose design procedure of the control scheme contains …

Applying machine learning based soft sensors to a pulp refining process

M Karsimus - 2021 - aaltodoc.aalto.fi
Refining is one of the most important steps in pulp manufacturing, aiming to improve the
strength properties of the final product (board) by mechanically treating cellulose fibers …

Data‐driven ALS‐SVR‐ARMA2K modelling with AMPSO parameter optimisation for a high consistency refining system in papermaking

P Zhou, H Wang, M Li, Z Zhao… - IET Control Theory & …, 2016 - Wiley Online Library
In this study, an innovative data‐driven non‐linear dynamical system modelling method,
ALS‐SVR‐ARMA2K, is proposed for a high consistency refining (HCR) process in …

Multiple linear regression modelling of pulp and handsheet properties based on fiber morphology measurements and process data

D Ekbåge, L Nilsson, H Håkansson, PI Lin - BioResources, 2020 - diva-portal.org
A multiple regression model was evaluated to predict pulp and handsheet properties
including z-directional tensile strength (z-strength) and Scott bond values. One hypothesis …