2 papers
cs.LG2021
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision
Tilman Krokotsch, Mirko Knaak, Clemens Gühmann
RUL estimation suffers from a server data imbalance where data from machines near their end of life is rare. Additionally, the data produced by a machine can only be labeled after…
cs.LG2021
Non-Autoregressive vs Autoregressive Neural Networks for System Identification
Daniel Weber, Clemens Gühmann
The application of neural networks to non-linear dynamic system identification tasks has a long history, which consists mostly of autoregressive approaches. Autoregression, the usa…