• Adaptive process monitoring using principal component analysis and Gaussian Mixture Models 

      Addo, Prince (Stellenbosch : Stellenbosch University, 2019-04)
      ENGLISH ABSTRACT: Principal component analysis (PCA) is a well-known technique used in combination with monitoring statistics for fault detection. Moving window PCA and recursive PCA are adaptive extensions of PCA that ...
    • Applying dynamic Bayesian Networks to process monitoring 

      Wakefield, Brandon Jason (Stellenbosch : Stellenbosch University, 2018-12)
      ENGLISH ABSTRACT: In efforts to reduce the impact of human error on the operation of chemical and mineral processing plants, reliable process monitoring solutions attempt to assist plant operators and engineers to detect ...
    • Bayesian parameter estimation for process monitoring 

      Basson, Marno (Stellenbosch : Stellenbosch University., 2020-03)
      ENGLISH ABSTRACT: The underlying mechanism of many physical systems studied in engineering can be described by algebraic, ordinary differential and auxiliary equations. While these equations stem from engineering expertise, ...