Evaluating conveyor belt health with signal processing applied to inertial sensing (2023)
- Authors:
- USP affiliated authors: UEYAMA, JO - ICMC ; COLETTI, OTAVIO FERRACIOLI - ICMC ; UGUCIONI FILHO, FERNANDO - EESC ; BARROS, LUIZ GUILHERME DIAS DE - EESC ; MATOS, SAULO NEVES - ICMC ; RANIERI, CAETANO MAZZONI - ICMC
- Unidades: ICMC; EESC
- DOI: 10.1109/SIOT60039.2023.10390088
- Subjects: INDÚSTRIA MINERAL; FALHA; ANÁLISE ESTATÍSTICA DE DADOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2023
- Source:
- Título: Proceedings
- Conference titles: Symposium on Internet of Things - SIoT
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MATOS, Saulo Neves et al. Evaluating conveyor belt health with signal processing applied to inertial sensing. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/SIoT60039.2023.10390088. Acesso em: 28 dez. 2025. -
APA
Matos, S. N., Coletti, O. F., Ugucioni Filho, F., Carvalho, R. C. C. L., Pinto, T. V. B. e, Barros, L. G. D. de, et al. (2023). Evaluating conveyor belt health with signal processing applied to inertial sensing. In Proceedings. Piscataway: IEEE. doi:10.1109/SIOT60039.2023.10390088 -
NLM
Matos SN, Coletti OF, Ugucioni Filho F, Carvalho RCCL, Pinto TVB e, Barros LGD de, Ranieri CM, Lopes BE, Ueyama J, Pessin G. Evaluating conveyor belt health with signal processing applied to inertial sensing [Internet]. Proceedings. 2023 ;[citado 2025 dez. 28 ] Available from: https://doi.org/10.1109/SIoT60039.2023.10390088 -
Vancouver
Matos SN, Coletti OF, Ugucioni Filho F, Carvalho RCCL, Pinto TVB e, Barros LGD de, Ranieri CM, Lopes BE, Ueyama J, Pessin G. Evaluating conveyor belt health with signal processing applied to inertial sensing [Internet]. Proceedings. 2023 ;[citado 2025 dez. 28 ] Available from: https://doi.org/10.1109/SIoT60039.2023.10390088 - An evaluation of iron ore characteristics through machine learning and 2-D LiDAR technology
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Informações sobre o DOI: 10.1109/SIOT60039.2023.10390088 (Fonte: oaDOI API)
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