Identifying changes in degradation stages for an unsupervised fault prognosis method for engineering systems (2023)
- Authors:
- USP affiliated authors: MICHALSKI, MIGUEL ANGELO DE CARVALHO - EP ; MELANI, ARTHUR HENRIQUE DE ANDRADE - EP ; SOUZA, GILBERTO FRANCISCO MARTHA DE - EP ; SILVA, RENAN FAVARÃO DA - EP
- Unidade: EP
- DOI: 10.3850/978-981-18-8071-1_P055-cd
- Subjects: MANUTENÇÃO PREDITIVA; CICLO DE VIDA; FALHA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: European Safety and Reliability Conference
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
MICHALSKI, Miguel Angelo De Carvalho et al. Identifying changes in degradation stages for an unsupervised fault prognosis method for engineering systems. 2023, Anais.. Singapore: Escola Politécnica, Universidade de São Paulo, 2023. Disponível em: https://www.rpsonline.com.sg/proceedings/esrel2023/html/P055.html. Acesso em: 23 jan. 2026. -
APA
Michalski, M. A. D. C., Melani, A. H. de A., Silva, R. F. da, & Souza, G. F. M. de. (2023). Identifying changes in degradation stages for an unsupervised fault prognosis method for engineering systems. In Proceedings. Singapore: Escola Politécnica, Universidade de São Paulo. doi:10.3850/978-981-18-8071-1_P055-cd -
NLM
Michalski MADC, Melani AH de A, Silva RF da, Souza GFM de. Identifying changes in degradation stages for an unsupervised fault prognosis method for engineering systems [Internet]. Proceedings. 2023 ;[citado 2026 jan. 23 ] Available from: https://www.rpsonline.com.sg/proceedings/esrel2023/html/P055.html -
Vancouver
Michalski MADC, Melani AH de A, Silva RF da, Souza GFM de. Identifying changes in degradation stages for an unsupervised fault prognosis method for engineering systems [Internet]. Proceedings. 2023 ;[citado 2026 jan. 23 ] Available from: https://www.rpsonline.com.sg/proceedings/esrel2023/html/P055.html - A framework to automate fault detection and diagnosis based on moving window principal component analysis and Bayesian network
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Informações sobre o DOI: 10.3850/978-981-18-8071-1_P055-cd (Fonte: oaDOI API)
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