An Unsupervised Time Series Anomaly Detection Approach for Efficient Online Process Monitoring of Additive Manufacturing

Documenti analoghi

• Gradient-based Model Shortcut Detection for Time Series Classification
  di: Ibarra, Salomon, et al.
  Pubblicazione: (2025)
• Attention-stacked Generative Adversarial Network (AS-GAN)-empowered Sensor Data Augmentation for Online Monitoring of Manufacturing System
  di: Li, Yuxuan, et al.
  Pubblicazione: (2023)
• Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Advanced Manufacturing
  di: Li, Yuxuan, et al.
  Pubblicazione: (2023)
• Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges
  di: Saimon, Amirul Islam, et al.
  Pubblicazione: (2024)
• LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection
  di: Chen, Feiyi, et al.
  Pubblicazione: (2023)