Intelligent decision support for industrial systems performance optimization

This project will create an artificial intelligence (AI)-based platform to develop low-cost decision support systems and prototypes for pulp mills with industry partners. Learn how machine learning can enhance operations across several industries, including pulp and paper.

Project objectives

This project uses machine learning (ML) techniques to extract knowledge and identify patterns from industrial performance data. This knowledge will help engineers assess, diagnose and optimize process operation performance across several industries such as the pulp and paper, food and drink, oil refining and chemical sectors.

Digital and artificial intelligence techniques

Machine learning, including:
- Support vector machines (SVM)
- K-nearest neighbours (KNN)
- Principal component analysis (PCA)
- Neural nets
- Reinforcement learning
Optimization techniques:
- Direct search
- Particle swarm optimization