Unsupervised detection of anomalous sounds for machine condition monitoring

In an era of explosive machine applications , abnormal sound detection is gaining increasing attention from machine learning engineers. This report presents a novel solution to monitoring abnormal machine sounds by ensemble of models. Dense autoencoder and convolutional autoencoder were ensemb...

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Bibliografische gegevens
Hoofdauteur: Xie, Yonggang
Andere auteurs: Gan Woon Seng
Formaat: Final Year Project (FYP)
Taal:English
Gepubliceerd in: Nanyang Technological University 2022
Onderwerpen:
Online toegang:https://hdl.handle.net/10356/158025