GELU‐LSTM ‐encoder‐decoder fault prediction for batch processes based on the global–local percentile method

Documenti analoghi

• Robust optimal iterative learning control for constrained batch processes with nonuniform batch lengths
  di: Jian Ding, et al.
  Pubblicazione: (2025)
• Multi‐attention key‐factor‐aware convolutional neural network developed for quality prediction of batch processes tackling data sampled at various frequencies
  di: Yufeng Dong, et al.
  Pubblicazione: (2025)
• Three‐layer deep learning network random trees for fault detection in chemical production process
  di: Ming Lu, et al.
  Pubblicazione: (2024)
• Optimizing profitability of batch fermentation processes using machine learning‐based endpoint prediction
  di: Hechang Shi, et al.
  Pubblicazione: (2025)
• Two‐dimensional iterative learning robust H∞ optimization and linear quadratic fault‐tolerant control design for uncertain batch processes
  di: Pengwei Yuan, et al.
  Pubblicazione: (2026)