Robust soft sensor modelling method for quality‐related data with mixed stationary and non‐stationary characteristics

Documenti analoghi

• Probabilistic dynamic stationary subspace regression model for soft sensing of nonstationary industrial processes
  di: Jingyun Xu, et al.
  Pubblicazione: (2025)
• Root cause diagnosis with co‐integration constrained Liang–Kleeman information flow in non‐stationary processes
  di: Yuting Li, et al.
  Pubblicazione: (2025)
• Enhancing quality control of polyethylene in industrial polymerization plants through predictive multivariate data‐driven soft sensors
  di: Farzad Jani, et al.
  Pubblicazione: (2024)
• Constant component separation for nonlinear time‐varying process monitoring based on stationary subspace analysis and one‐class SVM
  di: Jianing Di, et al.
  Pubblicazione: (2025)
• Stacked dynamic target regularization enhanced autoencoder for soft sensor in industrial processes
  di: Xiaoping Guo, et al.
  Pubblicazione: (2024)