AI RESEARCH
Transformer Based Machine Fault Detection From Audio Input
arXiv CS.LG
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ArXi:2604.12733v1 Announce Type: cross In recent years, Sound AI is being increasingly used to predict machine failures. By attaching a microto the machine of interest, one can get real time data on machine behavior from the field. Traditionally, Convolutional Neural Net (CNN) architectures have been used to analyze spectrogram images generated from the sounds captured and predict if the machine is functioning as expected.