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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Bibliographic Details
Main Author: Xie, Yonggang
Other Authors: Gan Woon Seng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/158025
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Institution: Nanyang Technological University
Language: English

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