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Artículo
Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification
(Elsevier, 2020)
Modelling complex processes from raw time series increases the necessity to build DeepLearning (DL) architectures that can manage this type of data structure. However, as DLmodels become deeper, larger and more diverse ...
Artículo
Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition
(Springer, 2015)
This paper addresses the development of a random forest classifier for the multi-class fault diagnosis in spur gearboxes. The vibration signal’s condition parameters are first extracted by applying the wavelet packet ...
Artículo
One-shot fault diagnosis of 3D printers through improved feature space learning
(IEEE Computer Society, 2020)
Signal acquisition from mechanical systems working in faulty conditions is normally expensive. As a consequence, supervised learning-based approaches are hardly applicable. To address this problem, a one-shot learning-based ...