An artificial neural network-based system for detecting machine failures using tiny sound data: A case study. (arXiv:2209.11527v1 [cs.SD])

In an effort to advocate the research for a deep learning-based machine
failure detection system, we present a case study of our proposed system based
on a tiny sound dataset. Our case study investigates a variational autoencoder
(VAE) for augmenting a small drill sound dataset from Valmet AB. A Valmet
dataset contains 134 sounds that have been divided into two categories:
"Anomaly" and "Normal" recorded from a drilling machine in Valmet AB, a company
in Sundsvall, Sweden that supplies equipment …

artificial arxiv case case study data machine network neural network sound study