ACLASMA: Amplifying Cosine Losses for Anomalous Sound Monitoring in Automation
Anomaly detection is an important application in factory environments. The sounds emitted by a manufacturing machine during runtime can be indicative of either normal performance or of mechanical failure. Traditionally, cosine losses are frequently utilized in anomalous sound detection (ASD) algorit...
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| Main Authors: | Michael Goode Demoor, John Jeffery Prevost |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10741571/ |
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