No title
This thesis explores Artificial Neural Networks (ANNs) for predictive time series classification for Predictive Maintenance (PdM). Time slicing and time shifting are methods used, to enable the models to find features over time, and to predict into the future, respectively. Architectures of increasing complexity are explored for Feed Forward Neural Networks (FFNNs), Convolutional Neural Networks (
