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Artigo de periodico
Tool wear estimation in the milling process using backpropagation-based machine learning algorithm (2023)
Sousa, Giovanni Oliveira de; Conceição Junior, Pedro de Oliveira ; Silva, Ivan Nunes da ; Brandão, Dennis ; Dotto, Fabio Romano Lofrano
Fonte: Engineering Proceedings. Unidade: EESC
Assuntos: CONVERSORES ELÉTRICOS, APRENDIZADO COMPUTACIONAL, FRESAGEM, REDES NEURAIS, FERRAMENTAS, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUSA, Giovanni Oliveira de et al. Tool wear estimation in the milling process using backpropagation-based machine learning algorithm. Engineering Proceedings, v. 58, n. 1, p. 1-6, 2023Tradução . . Disponível em: https://dx.doi.org/10.3390/ecsa-10-15997. Acesso em: 16 nov. 2025.
APA
Sousa, G. O. de, Conceição Junior, P. de O., Silva, I. N. da, Brandão, D., & Dotto, F. R. L. (2023). Tool wear estimation in the milling process using backpropagation-based machine learning algorithm. Engineering Proceedings, 58( 1), 1-6. doi:10.3390/ecsa-10-15997
NLM
Sousa GO de, Conceição Junior P de O, Silva IN da, Brandão D, Dotto FRL. Tool wear estimation in the milling process using backpropagation-based machine learning algorithm [Internet]. Engineering Proceedings. 2023 ; 58( 1): 1-6.[citado 2025 nov. 16 ] Available from: https://dx.doi.org/10.3390/ecsa-10-15997
Vancouver
Sousa GO de, Conceição Junior P de O, Silva IN da, Brandão D, Dotto FRL. Tool wear estimation in the milling process using backpropagation-based machine learning algorithm [Internet]. Engineering Proceedings. 2023 ; 58( 1): 1-6.[citado 2025 nov. 16 ] Available from: https://dx.doi.org/10.3390/ecsa-10-15997
Artigo de periodico
Computational feasibility study for time-frequency analysis of non-stationary vibration signals based on wigner-ville distribution (2023)
Dias, Luis Otávio de Angeles; Conceição Junior, Pedro de Oliveira ; Monson, Paulo Monteiro de Carvalho
Fonte: Engineering Proceedings. Unidade: EESC
Assuntos: PROCESSAMENTO DE SINAIS ACÚSTICOS, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DIAS, Luis Otávio de Angeles e CONCEIÇÃO JUNIOR, Pedro de Oliveira e MONSON, Paulo Monteiro de Carvalho. Computational feasibility study for time-frequency analysis of non-stationary vibration signals based on wigner-ville distribution. Engineering Proceedings, v. 58, n. 1, p. 1-6, 2023Tradução . . Disponível em: https://dx.doi.org/10.3390/ecsa-10-16193. Acesso em: 16 nov. 2025.
APA
Dias, L. O. de A., Conceição Junior, P. de O., & Monson, P. M. de C. (2023). Computational feasibility study for time-frequency analysis of non-stationary vibration signals based on wigner-ville distribution. Engineering Proceedings, 58( 1), 1-6. doi:10.3390/ecsa-10-16193
NLM
Dias LO de A, Conceição Junior P de O, Monson PM de C. Computational feasibility study for time-frequency analysis of non-stationary vibration signals based on wigner-ville distribution [Internet]. Engineering Proceedings. 2023 ; 58( 1): 1-6.[citado 2025 nov. 16 ] Available from: https://dx.doi.org/10.3390/ecsa-10-16193
Vancouver
Dias LO de A, Conceição Junior P de O, Monson PM de C. Computational feasibility study for time-frequency analysis of non-stationary vibration signals based on wigner-ville distribution [Internet]. Engineering Proceedings. 2023 ; 58( 1): 1-6.[citado 2025 nov. 16 ] Available from: https://dx.doi.org/10.3390/ecsa-10-16193
Artigo de periodico
Damage detection in machining tools using acoustic emission, signal processing, and feature extraction (2023)
Bernardes, Lucas Pires; Conceição Junior, Pedro de Oliveira ; Dotto, Fabio Romano Lofrano ; Rodrigues, Alessandro Roger ; Silva, Marcio Marques
Fonte: Engineering Proceedings. Unidade: EESC
Assuntos: AUTOMAÇÃO INDUSTRIAL, ACÚSTICA, PROCESSAMENTO DE SINAIS, ENGENHARIA MECÂNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERNARDES, Lucas Pires et al. Damage detection in machining tools using acoustic emission, signal processing, and feature extraction. Engineering Proceedings, v. 58, n. 1, p. 1-6, 2023Tradução . . Disponível em: https://dx.doi.org/10.3390/ecsa-10-16258. Acesso em: 16 nov. 2025.
APA
Bernardes, L. P., Conceição Junior, P. de O., Dotto, F. R. L., Rodrigues, A. R., & Silva, M. M. (2023). Damage detection in machining tools using acoustic emission, signal processing, and feature extraction. Engineering Proceedings, 58( 1), 1-6. doi:10.3390/ecsa-10-16258
NLM
Bernardes LP, Conceição Junior P de O, Dotto FRL, Rodrigues AR, Silva MM. Damage detection in machining tools using acoustic emission, signal processing, and feature extraction [Internet]. Engineering Proceedings. 2023 ; 58( 1): 1-6.[citado 2025 nov. 16 ] Available from: https://dx.doi.org/10.3390/ecsa-10-16258
Vancouver
Bernardes LP, Conceição Junior P de O, Dotto FRL, Rodrigues AR, Silva MM. Damage detection in machining tools using acoustic emission, signal processing, and feature extraction [Internet]. Engineering Proceedings. 2023 ; 58( 1): 1-6.[citado 2025 nov. 16 ] Available from: https://dx.doi.org/10.3390/ecsa-10-16258
Artigo de periodico
Method for damage detection of CFRP plates using lamb waves and digital signal processing techniques (2022)
Monson, Paulo; Conceição Junior, Pedro de Oliveira ; Rodrigues, Alessandro Roger ; Aguair, Paulo; Soares Junior, Cristiano
Fonte: Engineering Proceedings. Unidade: EESC
Assuntos: ENGENHARIA MECÂNICA, PROCESSAMENTO DE SINAIS, PIEZOELETRICIDADE, MATERIAIS COMPÓSITOS, POLÍMEROS (MATERIAIS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MONSON, Paulo et al. Method for damage detection of CFRP plates using lamb waves and digital signal processing techniques. Engineering Proceedings, v. 27, n. 1, p. 1-6, 2022Tradução . . Disponível em: https://doi.org/10.3390/ecsa-9-13357. Acesso em: 16 nov. 2025.
APA
Monson, P., Conceição Junior, P. de O., Rodrigues, A. R., Aguair, P., & Soares Junior, C. (2022). Method for damage detection of CFRP plates using lamb waves and digital signal processing techniques. Engineering Proceedings, 27( 1), 1-6. doi:10.3390/ecsa-9-13357
NLM
Monson P, Conceição Junior P de O, Rodrigues AR, Aguair P, Soares Junior C. Method for damage detection of CFRP plates using lamb waves and digital signal processing techniques [Internet]. Engineering Proceedings. 2022 ; 27( 1): 1-6.[citado 2025 nov. 16 ] Available from: https://doi.org/10.3390/ecsa-9-13357
Vancouver
Monson P, Conceição Junior P de O, Rodrigues AR, Aguair P, Soares Junior C. Method for damage detection of CFRP plates using lamb waves and digital signal processing techniques [Internet]. Engineering Proceedings. 2022 ; 27( 1): 1-6.[citado 2025 nov. 16 ] Available from: https://doi.org/10.3390/ecsa-9-13357
Artigo de periodico
Time-domain analysis of acoustic emission signals during the first layer manufacturing in FFF process (2022)
Lopes, Thiago Glissoi; Aguiar, Paulo Roberto; França, Thiago Valle; Conceição Junior, Pedro de Oliveira ; Soares Junior, Cristiano; Antonio, Zaqueu Ricardo Fernando
Fonte: Engineering Proceedings. Unidade: EESC
Assuntos: ENGENHARIA MECÂNICA, MANUFATURA ADITIVA, SENSORES ELETROMECÂNICOS, CONTROLE DA PRODUÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Thiago Glissoi et al. Time-domain analysis of acoustic emission signals during the first layer manufacturing in FFF process. Engineering Proceedings, v. 27, n. 1, p. 1-6, 2022Tradução . . Disponível em: https://doi.org/10.3390/ecsa-9-13285. Acesso em: 16 nov. 2025.
APA
Lopes, T. G., Aguiar, P. R., França, T. V., Conceição Junior, P. de O., Soares Junior, C., & Antonio, Z. R. F. (2022). Time-domain analysis of acoustic emission signals during the first layer manufacturing in FFF process. Engineering Proceedings, 27( 1), 1-6. doi:10.3390/ecsa-9-13285
NLM
Lopes TG, Aguiar PR, França TV, Conceição Junior P de O, Soares Junior C, Antonio ZRF. Time-domain analysis of acoustic emission signals during the first layer manufacturing in FFF process [Internet]. Engineering Proceedings. 2022 ; 27( 1): 1-6.[citado 2025 nov. 16 ] Available from: https://doi.org/10.3390/ecsa-9-13285
Vancouver
Lopes TG, Aguiar PR, França TV, Conceição Junior P de O, Soares Junior C, Antonio ZRF. Time-domain analysis of acoustic emission signals during the first layer manufacturing in FFF process [Internet]. Engineering Proceedings. 2022 ; 27( 1): 1-6.[citado 2025 nov. 16 ] Available from: https://doi.org/10.3390/ecsa-9-13285

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