• A novel fault detection and diagnosis approach based on orthogonal autoencoders 

      Cacciarelli, Davide; Kulahci, Murat (Peer reviewed; Journal article, 2022)
      In recent years, there have been studies focusing on the use of different types of autoencoders (AEs) for monitoring complex nonlinear data coming from industrial and chemical processes. However, in many cases the focus ...
    • Split-plot designs for multistage Experimentation 

      Tyssedal, John Sølve; Kulahci, Murat (Journal article; Peer reviewed, 2017)
      Most of today’s complex systems and processes involve several stages through which input or the raw material has to go before the final product is obtained. Also in many cases factors at different stages interact. Therefore, ...
    • Stream-based active learning with linear models 

      Cacciarelli, Davide; Kulahci, Murat; Tyssedal, John Sølve (Journal article; Peer reviewed, 2022)