2025
USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time Series
ICASSP 2025accepted
Unsupervised fault detection in multivariate time series is critical for maintaining the integrity and efficiency of complex systems, with current methodologies largely focusing on statistical and machine learning techniques. However, these approaches often rest on the assumption that data distribut…