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Artigo de periodico
Generalized stochastic Petri nets for planning and optimizing maintenance logistics of small hydroelectric power plants (2022)
Melani, Arthur Henrique de Andrade ; Michalski, Miguel Angelo De Carvalho ; Murad, Carlos Alberto; Caminada Netto, Adherbal; Souza, Gilberto Francisco Martha de
Source: Energies. Unidade: EP
Subjects: EMPRESAS DE ENERGIA ELÉTRICA, USINAS HIDRELÉTRICAS, REDES DE PETRI
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ABNT
MELANI, Arthur Henrique de Andrade et al. Generalized stochastic Petri nets for planning and optimizing maintenance logistics of small hydroelectric power plants. Energies, v. 15, n. 8, p. 1-16, 2022Tradução . . Disponível em: https://doi.org/10.3390/en15082742. Acesso em: 04 maio 2026.
APA
Melani, A. H. de A., Michalski, M. A. D. C., Murad, C. A., Caminada Netto, A., & Souza, G. F. M. de. (2022). Generalized stochastic Petri nets for planning and optimizing maintenance logistics of small hydroelectric power plants. Energies, 15( 8), 1-16. doi:10.3390/en15082742
NLM
Melani AH de A, Michalski MADC, Murad CA, Caminada Netto A, Souza GFM de. Generalized stochastic Petri nets for planning and optimizing maintenance logistics of small hydroelectric power plants [Internet]. Energies. 2022 ; 15( 8): 1-16.[citado 2026 maio 04 ] Available from: https://doi.org/10.3390/en15082742
Vancouver
Melani AH de A, Michalski MADC, Murad CA, Caminada Netto A, Souza GFM de. Generalized stochastic Petri nets for planning and optimizing maintenance logistics of small hydroelectric power plants [Internet]. Energies. 2022 ; 15( 8): 1-16.[citado 2026 maio 04 ] Available from: https://doi.org/10.3390/en15082742
Artigo de periodico
Modeling a maintenance management framework for asset management based on ISO 55000 series guidelines (2022)
Silva, Renan Favarão da ; Souza, Gilberto Francisco Martha de
Source: Journal of quality in maintenance engineering. Unidade: EP
Subjects: ADMINISTRAÇÃO DE RECURSOS PATRIMONIAIS, MANUTENÇÃO PREDITIVA, NORMAS TÉCNICAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Renan Favarão da e SOUZA, Gilberto Francisco Martha de. Modeling a maintenance management framework for asset management based on ISO 55000 series guidelines. Journal of quality in maintenance engineering, v. 28, n. 4, p. 915–937, 2022Tradução . . Disponível em: https://doi.org/10.1108/JQME-08-2020-0082. Acesso em: 04 maio 2026.
APA
Silva, R. F. da, & Souza, G. F. M. de. (2022). Modeling a maintenance management framework for asset management based on ISO 55000 series guidelines. Journal of quality in maintenance engineering, 28( 4), 915–937. doi:10.1108/JQME-08-2020-0082
NLM
Silva RF da, Souza GFM de. Modeling a maintenance management framework for asset management based on ISO 55000 series guidelines [Internet]. Journal of quality in maintenance engineering. 2022 ; 28( 4): 915–937.[citado 2026 maio 04 ] Available from: https://doi.org/10.1108/JQME-08-2020-0082
Vancouver
Silva RF da, Souza GFM de. Modeling a maintenance management framework for asset management based on ISO 55000 series guidelines [Internet]. Journal of quality in maintenance engineering. 2022 ; 28( 4): 915–937.[citado 2026 maio 04 ] Available from: https://doi.org/10.1108/JQME-08-2020-0082
Trabalho de evento
Applying an unsupervised machine learning method for defining maintenance significant items (2021)
Michalski, Miguel Angelo De Carvalho ; Melani, Arthur Henrique de Andrade ; Silva, Renan Favarão da ; Souza, Gilberto Francisco Martha de
Source: Proceedings. Conference titles: European Safety and Reliability Conference. Unidade: EP
Subjects: USINAS HIDRELÉTRICAS, ELEMENTOS DE MÁQUINAS, COMPONENTES PRINCIPAIS, TOMADA DE DECISÃO, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MICHALSKI, Miguel Angelo De Carvalho et al. Applying an unsupervised machine learning method for defining maintenance significant items. 2021, Anais.. Singapore: Escola Politécnica, Universidade de São Paulo, 2021. Disponível em: https://www.rpsonline.com.sg/proceedings/9789811820168/html/345.xml. Acesso em: 04 maio 2026.
APA
Michalski, M. A. D. C., Melani, A. H. de A., Silva, R. F. da, & Souza, G. F. M. de. (2021). Applying an unsupervised machine learning method for defining maintenance significant items. In Proceedings. Singapore: Escola Politécnica, Universidade de São Paulo. doi:10.3850/978-981-18-2016-8 345-cd
NLM
Michalski MADC, Melani AH de A, Silva RF da, Souza GFM de. Applying an unsupervised machine learning method for defining maintenance significant items [Internet]. Proceedings. 2021 ;[citado 2026 maio 04 ] Available from: https://www.rpsonline.com.sg/proceedings/9789811820168/html/345.xml
Vancouver
Michalski MADC, Melani AH de A, Silva RF da, Souza GFM de. Applying an unsupervised machine learning method for defining maintenance significant items [Internet]. Proceedings. 2021 ;[citado 2026 maio 04 ] Available from: https://www.rpsonline.com.sg/proceedings/9789811820168/html/345.xml
Trabalho de evento
Applying principal component analysis for multi-parameter failure prognosis and determination of remaining useful life (2021)
Michalski, Miguel Angelo De Carvalho ; Silva, Renan Favarão da ; Melani, Arthur Henrique de Andrade ; Souza, Gilberto Francisco Martha de
Source: Proceedings. Conference titles: Annual Reliability and Maintainability Symposium. Unidade: EP
Subjects: INDÚSTRIA 4.0, MANUTENÇÃO PREDITIVA, ELEMENTOS DE MÁQUINAS, CICLO DE VIDA, COMPONENTES PRINCIPAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MICHALSKI, Miguel Angelo De Carvalho et al. Applying principal component analysis for multi-parameter failure prognosis and determination of remaining useful life. 2021, Anais.. New York: Escola Politécnica, Universidade de São Paulo, 2021. Disponível em: https://doi.org/10.1109/RAMS48097.2021.9605798. Acesso em: 04 maio 2026.
APA
Michalski, M. A. D. C., Silva, R. F. da, Melani, A. H. de A., & Souza, G. F. M. de. (2021). Applying principal component analysis for multi-parameter failure prognosis and determination of remaining useful life. In Proceedings. New York: Escola Politécnica, Universidade de São Paulo. doi:10.1109/RAMS48097.2021.9605798
NLM
Michalski MADC, Silva RF da, Melani AH de A, Souza GFM de. Applying principal component analysis for multi-parameter failure prognosis and determination of remaining useful life [Internet]. Proceedings. 2021 ;[citado 2026 maio 04 ] Available from: https://doi.org/10.1109/RAMS48097.2021.9605798
Vancouver
Michalski MADC, Silva RF da, Melani AH de A, Souza GFM de. Applying principal component analysis for multi-parameter failure prognosis and determination of remaining useful life [Internet]. Proceedings. 2021 ;[citado 2026 maio 04 ] Available from: https://doi.org/10.1109/RAMS48097.2021.9605798
Trabalho de evento
Applying cluster analysis to support failure management policy selection in asset management: a hydropower plant case study (2021)
Silva, Renan Favarão da ; Melani, Arthur Henrique de Andrade ; Michalski, Miguel Angelo De Carvalho ; Souza, Gilberto Francisco Martha de
Source: Proceedings. Conference titles: European Safety and Reliability Conference. Unidade: EP
Subjects: USINAS HIDRELÉTRICAS, FALHA, ANÁLISE DE CONGLOMERADOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Renan Favarão da et al. Applying cluster analysis to support failure management policy selection in asset management: a hydropower plant case study. 2021, Anais.. Singapore: Escola Politécnica, Universidade de São Paulo, 2021. Disponível em: https://www.rpsonline.com.sg/proceedings/9789811820168/html/344.xml. Acesso em: 04 maio 2026.
APA
Silva, R. F. da, Melani, A. H. de A., Michalski, M. A. D. C., & Souza, G. F. M. de. (2021). Applying cluster analysis to support failure management policy selection in asset management: a hydropower plant case study. In Proceedings. Singapore: Escola Politécnica, Universidade de São Paulo. doi:10.3850/978-981-18-2016-8 344-cd
NLM
Silva RF da, Melani AH de A, Michalski MADC, Souza GFM de. Applying cluster analysis to support failure management policy selection in asset management: a hydropower plant case study [Internet]. Proceedings. 2021 ;[citado 2026 maio 04 ] Available from: https://www.rpsonline.com.sg/proceedings/9789811820168/html/344.xml
Vancouver
Silva RF da, Melani AH de A, Michalski MADC, Souza GFM de. Applying cluster analysis to support failure management policy selection in asset management: a hydropower plant case study [Internet]. Proceedings. 2021 ;[citado 2026 maio 04 ] Available from: https://www.rpsonline.com.sg/proceedings/9789811820168/html/344.xml
Artigo de periodico
A framework to automate fault detection and diagnosis based on moving window principal component analysis and Bayesian network (2021)
Melani, Arthur Henrique de Andrade ; Michalski, Miguel Angelo De Carvalho ; Souza, Gilberto Francisco Martha de ; Silva, Renan Favarão da
Source: Reliability engineering & systems safety. Unidade: EP
Subjects: MANUTENÇÃO PREDITIVA, FALHA, COMPONENTES PRINCIPAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MELANI, Arthur Henrique de Andrade et al. A framework to automate fault detection and diagnosis based on moving window principal component analysis and Bayesian network. Reliability engineering & systems safety, v. No 2021, p. 1-22, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ress.2021.107837. Acesso em: 04 maio 2026.
APA
Melani, A. H. de A., Michalski, M. A. D. C., Souza, G. F. M. de, & Silva, R. F. da. (2021). A framework to automate fault detection and diagnosis based on moving window principal component analysis and Bayesian network. Reliability engineering & systems safety, No 2021, 1-22. doi:10.1016/j.ress.2021.107837
NLM
Melani AH de A, Michalski MADC, Souza GFM de, Silva RF da. A framework to automate fault detection and diagnosis based on moving window principal component analysis and Bayesian network [Internet]. Reliability engineering & systems safety. 2021 ; No 2021 1-22.[citado 2026 maio 04 ] Available from: https://doi.org/10.1016/j.ress.2021.107837
Vancouver
Melani AH de A, Michalski MADC, Souza GFM de, Silva RF da. A framework to automate fault detection and diagnosis based on moving window principal component analysis and Bayesian network [Internet]. Reliability engineering & systems safety. 2021 ; No 2021 1-22.[citado 2026 maio 04 ] Available from: https://doi.org/10.1016/j.ress.2021.107837
Artigo de periodico
PAL-VMEA: a novel method for enhancing decision-making consistency in maintenance management (2020)
Bellinello, Marjorie Maria ; Michalski, Miguel Angelo De Carvalho ; Melani, Arthur Henrique de Andrade ; Caminada Netto, Adherbal; Murad, Carlos Alberto; Souza, Gilberto Francisco Martha de
Source: Applied sciences. Unidade: EP
Subjects: MANUTENÇÃO PREVENTIVA, TOMADA DE DECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BELLINELLO, Marjorie Maria et al. PAL-VMEA: a novel method for enhancing decision-making consistency in maintenance management. Applied sciences, v. No 2020, n. 22, p. 1-26, 2020Tradução . . Disponível em: https://doi.org/10.3390/app10228040. Acesso em: 04 maio 2026.
APA
Bellinello, M. M., Michalski, M. A. D. C., Melani, A. H. de A., Caminada Netto, A., Murad, C. A., & Souza, G. F. M. de. (2020). PAL-VMEA: a novel method for enhancing decision-making consistency in maintenance management. Applied sciences, No 2020( 22), 1-26. doi:10.3390/app10228040
NLM
Bellinello MM, Michalski MADC, Melani AH de A, Caminada Netto A, Murad CA, Souza GFM de. PAL-VMEA: a novel method for enhancing decision-making consistency in maintenance management [Internet]. Applied sciences. 2020 ; No 2020( 22): 1-26.[citado 2026 maio 04 ] Available from: https://doi.org/10.3390/app10228040
Vancouver
Bellinello MM, Michalski MADC, Melani AH de A, Caminada Netto A, Murad CA, Souza GFM de. PAL-VMEA: a novel method for enhancing decision-making consistency in maintenance management [Internet]. Applied sciences. 2020 ; No 2020( 22): 1-26.[citado 2026 maio 04 ] Available from: https://doi.org/10.3390/app10228040
Artigo de periodico
Nonlinear autoregressive neural network models for prediction of transformer oil-dissolved gas concentrations (2018)
Pereira, Fabio Henrique ; Bezerra, Francisco Elânio ; Nagao Junior, Shigueru ; Santos, Josemir Coelho ; Chabu, Ivan Eduardo ; Souza, Gilberto Francisco Martha de ; Micerino, Fabio José; Nabeta, Silvio Ikuyo
Source: Energies. Unidade: EP
Subjects: TRANSFORMADORES E REATORES, FALHA, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Fabio Henrique et al. Nonlinear autoregressive neural network models for prediction of transformer oil-dissolved gas concentrations. Energies, v. 11, n. Ju 2018, p. 1-12, 2018Tradução . . Disponível em: https://doi.org/10.3390/en11071691. Acesso em: 04 maio 2026.
APA
Pereira, F. H., Bezerra, F. E., Nagao Junior, S., Santos, J. C., Chabu, I. E., Souza, G. F. M. de, et al. (2018). Nonlinear autoregressive neural network models for prediction of transformer oil-dissolved gas concentrations. Energies, 11( Ju 2018), 1-12. doi:10.3390/en11071691
NLM
Pereira FH, Bezerra FE, Nagao Junior S, Santos JC, Chabu IE, Souza GFM de, Micerino FJ, Nabeta SI. Nonlinear autoregressive neural network models for prediction of transformer oil-dissolved gas concentrations [Internet]. Energies. 2018 ; 11( Ju 2018): 1-12.[citado 2026 maio 04 ] Available from: https://doi.org/10.3390/en11071691
Vancouver
Pereira FH, Bezerra FE, Nagao Junior S, Santos JC, Chabu IE, Souza GFM de, Micerino FJ, Nabeta SI. Nonlinear autoregressive neural network models for prediction of transformer oil-dissolved gas concentrations [Internet]. Energies. 2018 ; 11( Ju 2018): 1-12.[citado 2026 maio 04 ] Available from: https://doi.org/10.3390/en11071691

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