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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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/158025 |