Open access
2026
Time Series-Based Anomaly Detection in Gas Turbines Using TimeWGAN-GP
Experimental findings demonstrate that the proposed framework captures dynamic transitions more effectively than threshold-based methods, predicts the progression of faults, and supports the construction of an expanded anomaly catalog by generating synthetic profiles that resemble documented failure modes.
Maria del Carmen Rubiales Mena, A. Roque, M. A. Sanz-Bobi et al.
· IEEE Access · 0 citations