Time-Series Anomaly Detection and Diagnosis

2026년 8월 19일 진행된 SPS Lab. 논문 세미나 자료입니다. 참조 [1] Choi, Kukjin, et al. "Self-supervised time-series anomaly detection using learnable data augmentation." arXiv preprint arXiv:2406.12260 (2024). [2] Fujiwara, Koichi, Yoshiaki Uchida, and Taketsugu Osaka. "Root cause identification of fault in hot-rolling process by causal plot." Digital Chemical Engineering (2025): 100263. Smart Production Systems Lab. (sps.korea.ac.kr) Korea University