Acoustic Anomaly Detection of Mechanical Failures in Noisy Real-Life Factory Environments
Acoustic Anomaly Detection of Mechanical Failures in Noisy Real-Life Factory Environments
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Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
Anomaly detection without employing dedicated sensors for each industrial machine is recognized as one of the essential techniques for preventive maintenance and is especially important for factories with low automatization levels, a number of which remain much larger than autonomous manufacturing lines. We have based our research on the hypothesis...
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Acoustic Anomaly Detection of Mechanical Failures in Noisy Real-Life Factory Environments
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TN_cdi_proquest_journals_2580978425
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2580978425
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ISSN
2079-9292
E-ISSN
2079-9292
DOI
10.3390/electronics10192329