3 papers
stat.AP2026
An unsupervised kernel norm monitoring for fault detection in a time series photovoltaic system
Victoria Jorry, Zina-Sabrina Duma, Satu-Pia Reinikainen +2
Grid-connected photovoltaic systems (GCPVS) are generally robust but remain susceptible to faults that can compromise energy conversion efficiency or raise safety concerns. Promptl…
stat.AP2026
Probabilistic multivariate statistical process control via kernel parameter uncertainty propagation
Zina-Sabrina Duma, Victoria Jorry, Ayesha Safraz +4
Kernel-based multivariate statistical process control (K-MSPC) extends classical monitoring to nonlinear industrial processes. Its performance depends critically on kernel paramete…
cs.CE2025
Optimising Kernel-based Multivariate Statistical Process Control
Zina-Sabrina Duma, Victoria Jorry, Tuomas Sihvonen +2
Multivariate Statistical Process Control (MSPC) is a framework for monitoring and diagnosing complex processes by analysing the relationships between multiple process variables sim…