Remaining useful life estimation based on an adaptive approach of Autoregressive Integrated Moving Average (ARIMA) (2022)
- Authors:
- USP affiliated authors: SOUZA, GILBERTO FRANCISCO MARTHA DE - EP ; MELANI, ARTHUR HENRIQUE DE ANDRADE - EP ; MICHALSKI, MIGUEL ANGELO DE CARVALHO - EP ; SILVA, RENAN FAVARÃO DA - EP
- Unidade: EP
- DOI: 10.3850/978-981-18-5183-4_R22-04-073-cd
- Subjects: MANUTENÇÃO PREDITIVA; CICLO DE VIDA; FALHA; INOVAÇÃO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: European Safety and Reliability Conference
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MICHALSKI, Miguel Angelo De Carvalho et al. Remaining useful life estimation based on an adaptive approach of Autoregressive Integrated Moving Average (ARIMA). 2022, Anais.. Singapore: Escola Politécnica, Universidade de São Paulo, 2022. Disponível em: https://www.rpsonline.com.sg/proceedings/esrel2022/html/R22-04-073.xml. Acesso em: 04 dez. 2025. -
APA
Michalski, M. A. D. C., Melani, A. H. de A., Silva, R. F. da, & Souza, G. F. M. de. (2022). Remaining useful life estimation based on an adaptive approach of Autoregressive Integrated Moving Average (ARIMA). In Proceedings. Singapore: Escola Politécnica, Universidade de São Paulo. doi:10.3850/978-981-18-5183-4_R22-04-073-cd -
NLM
Michalski MADC, Melani AH de A, Silva RF da, Souza GFM de. Remaining useful life estimation based on an adaptive approach of Autoregressive Integrated Moving Average (ARIMA) [Internet]. Proceedings. 2022 ;[citado 2025 dez. 04 ] Available from: https://www.rpsonline.com.sg/proceedings/esrel2022/html/R22-04-073.xml -
Vancouver
Michalski MADC, Melani AH de A, Silva RF da, Souza GFM de. Remaining useful life estimation based on an adaptive approach of Autoregressive Integrated Moving Average (ARIMA) [Internet]. Proceedings. 2022 ;[citado 2025 dez. 04 ] Available from: https://www.rpsonline.com.sg/proceedings/esrel2022/html/R22-04-073.xml - A framework for in-service life extension of hydroelectric generation assets
- Applying an unsupervised machine learning method for defining maintenance significant items
- A framework to automate fault detection and diagnosis based on moving window principal component analysis and Bayesian network
- Failure Mode and Observability Analysis (FMOA): an FMEA-based method to support fault detection and diagnosis
- Fault detection and diagnosis based on unsupervised machine learning methods: a Kaplan turbine case study
- Identifying changes in degradation stages for an unsupervised fault prognosis method for engineering systems
- Applying principal component analysis for multi-parameter failure prognosis and determination of remaining useful life
- Reliability and risk centered maintenance: a novel method for supporting maintenance management
- A fault detection framework based on data-driven digital shadows
- Applying cluster analysis to support failure management policy selection in asset management: a hydropower plant case study
Informações sobre o DOI: 10.3850/978-981-18-5183-4_R22-04-073-cd (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 3279656.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
