The article is a short sketch of the typical interdisciplinary scientific work of Piotr Kowalski that embraces the space between folklore studies, history and cultural anthropology.Within Polish scholarship, it is a model that hardly fit any clearly defined structure of a particular discipline or school and therefore forms an extremely original program, deeply ingrained in cultural anthropology.
The article presents the use of a deep neural network to classify failures of an induction motor. Failures are related to inter-turn short-circuits occurring in the stator circuit. The classification is applied as a mobile application using the Intel Movidius Neural Compute Stick. The state assessment was made on the basis of a database containing the results of continuous wavelet analysis of the torque waveforms of the motor for a different number of shorted turns. Various database configurations for the neural network used in the application have been considered.
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