Machine learning techniques for improving multiclass anomaly detection on conveyor belts (2024)
- Authors:
- Matos, Saulo Neves
- Coletti, Otavio Ferracioli
- Zimmer, Rafael
- Ugucioni Filho, Fernando
- Carvalho, Ricardo C. C. L. de
- Silva, Victor Rodrigues da
- Franco, Jorge Luiz
- Pinto, Thomas Vargas Barsante e
- Barros, Luiz Guilherme Dias de
- Ranieri, Caetano Mazzoni
- Lopes, Bruno Eduardo
- Silva, Diego Furtado
- Ueyama, Jó
- Pessin, Gustavo
- Matos, Saulo Neves
- USP affiliated authors: SILVA, DIEGO FURTADO - ICMC ; UEYAMA, JO - ICMC ; COLETTI, OTAVIO FERRACIOLI - ICMC ; ZIMMER, RAFAEL - ICMC ; UGUCIONI FILHO, FERNANDO - EESC ; SILVA, VICTOR RODRIGUES DA - ICMC ; FRANCO, JORGE LUIZ - ICMC ; MATOS, SAULO NEVES - ICMC ; BARROS, LUIZ GUILHERME DIAS DE - EESC ; RANIERI, CAETANO MAZZONI - ICMC
- Unidades: ICMC; EESC
- DOI: 10.1109/I2MTC60896.2024.10561167
- Subjects: APRENDIZADO COMPUTACIONAL; REDES NEURAIS; MANUTENÇÃO PREDITIVA; TRANSPORTADORES DE CORREIA
- Keywords: Inertial Measurement Unit; conveyor belt; anomaly detection; hybrid transformers; mining industry
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2024
- Source:
- Título: Proceedings
- Conference titles: IEEE International Instrumentation and Measurement Technology Conference - I2MTC
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
MATOS, Saulo Neves et al. Machine learning techniques for improving multiclass anomaly detection on conveyor belts. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/I2MTC60896.2024.10561167. Acesso em: 09 abr. 2026. -
APA
Matos, S. N., Coletti, O. F., Zimmer, R., Ugucioni Filho, F., Carvalho, R. C. C. L. de, Silva, V. R. da, et al. (2024). Machine learning techniques for improving multiclass anomaly detection on conveyor belts. In Proceedings. Piscataway: IEEE. doi:10.1109/I2MTC60896.2024.10561167 -
NLM
Matos SN, Coletti OF, Zimmer R, Ugucioni Filho F, Carvalho RCCL de, Silva VR da, Franco JL, Pinto TVB e, Barros LGD de, Ranieri CM, Lopes BE, Silva DF, Ueyama J, Pessin G. Machine learning techniques for improving multiclass anomaly detection on conveyor belts [Internet]. Proceedings. 2024 ;[citado 2026 abr. 09 ] Available from: https://doi.org/10.1109/I2MTC60896.2024.10561167 -
Vancouver
Matos SN, Coletti OF, Zimmer R, Ugucioni Filho F, Carvalho RCCL de, Silva VR da, Franco JL, Pinto TVB e, Barros LGD de, Ranieri CM, Lopes BE, Silva DF, Ueyama J, Pessin G. Machine learning techniques for improving multiclass anomaly detection on conveyor belts [Internet]. Proceedings. 2024 ;[citado 2026 abr. 09 ] Available from: https://doi.org/10.1109/I2MTC60896.2024.10561167 - Evaluating conveyor belt health with signal processing applied to inertial sensing
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