UCAM analysis of STRATH-AFRC dataset for MET4FOF
Sensor data set radial forging at AFRC testbed
- 01-Load-Data.ipynb - Download & parse data into dataframes
- 02-Time-Segmentation.ipynb - Segment the sensor measurements into 3 phases : Heating, Transfer, Forging (and an additional Full which comprises of all 3 phases)
- 03-Feature-Extraction.ipynb - Extract features from time-series: Mean, Std, Kurtosis, Min, Max, Skewness,Sum,Median
- 04-BNN-Dropout.ipynb - Bayesian Neural Network using Dropout for modelling. Kfold validation and uncertainty quantification.
- Thanks to Christos Tachtatzis & Yuhui Luo
- Requires pytorch for ANN models