Anomalous electrical transformer sound detection using self-supervised learning with auxiliary classification tasks and data augmentations

Yao, D., Zhang, S., Yao, T., Shi, C. and Nie, J. (2021) Anomalous electrical transformer sound detection using self-supervised learning with auxiliary classification tasks and data augmentations. Carletti, Eleonora, Pawelczyk, Marek, Crocker, Malcolm and Tuma, Jiri (eds.) In 27th International Congress on Sound and Vibration (ICVS27). International Institute of Acoustics and Vibration. pp. 1804-1811 .

Record type: Conference or Workshop Item (Paper)

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Published date: 1 September 2021

Venue - Dates: 27th International Congress on Sound and Vibration, ICSV 2021, , Virtual, Online, 2021-07-11 - 2021-07-16

Related URLs:

https://www.proceedings.com/60266.html

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Local EPrints ID: 484464

URI: http://eprints.soton.ac.uk/id/eprint/484464

PURE UUID: 6338675f-8f20-4a74-9ecb-f81977e3bf69

ORCID for C. Shi:

orcid.org/0000-0002-1517-2775

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Date deposited: 16 Nov 2023 13:10

Last modified: 07 Mar 2024 03:09

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Contributors

Author: D. Yao

Author: S. Zhang

Author: T. Yao

Author: C. Shi

Author: J. Nie

Editor: Eleonora Carletti

Editor: Marek Pawelczyk

Editor: Malcolm Crocker

Editor: Jiri Tuma

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