Defining maintenance performance indicators for asset management based on ISO 55000 and balanced scorecard: a hydropower plant case study (2020)
- Authors:
- USP affiliated authors: SOUZA, GILBERTO FRANCISCO MARTHA DE - EP ; NABETA, SILVIO IKUYO - EP ; SILVA, RENAN FAVARÃO DA - EP ; MICHALSKI, MIGUEL ANGELO DE CARVALHO - EP ; MELANI, ARTHUR HENRIQUE DE ANDRADE - EP
- Unidade: EP
- DOI: 10.3850/978-981-14-8593-0
- Subjects: USINAS HIDRELÉTRICAS; ADMINISTRAÇÃO DE RECURSOS PATRIMONIAIS; NORMAS TÉCNICAS; BALANCED SCORECARD
- 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
SILVA, Renan Favarão da et al. Defining maintenance performance indicators for asset management based on ISO 55000 and balanced scorecard: a hydropower plant case study. 2020, Anais.. Singapore: Escola Politécnica, Universidade de São Paulo, 2020. Disponível em: https://www.rpsonline.com.sg/proceedings/esrel2020/html/3820.xml. Acesso em: 21 fev. 2026. -
APA
Silva, R. F. da, Melani, A. H. de A., Michalski, M. A. D. C., Souza, G. F. M. de, Nabeta, S. I., & Hamaji, F. H. (2020). Defining maintenance performance indicators for asset management based on ISO 55000 and balanced scorecard: a hydropower plant case study. In Proceedings. Singapore: Escola Politécnica, Universidade de São Paulo. doi:10.3850/978-981-14-8593-0 -
NLM
Silva RF da, Melani AH de A, Michalski MADC, Souza GFM de, Nabeta SI, Hamaji FH. Defining maintenance performance indicators for asset management based on ISO 55000 and balanced scorecard: a hydropower plant case study [Internet]. Proceedings. 2020 ;[citado 2026 fev. 21 ] Available from: https://www.rpsonline.com.sg/proceedings/esrel2020/html/3820.xml -
Vancouver
Silva RF da, Melani AH de A, Michalski MADC, Souza GFM de, Nabeta SI, Hamaji FH. Defining maintenance performance indicators for asset management based on ISO 55000 and balanced scorecard: a hydropower plant case study [Internet]. Proceedings. 2020 ;[citado 2026 fev. 21 ] Available from: https://www.rpsonline.com.sg/proceedings/esrel2020/html/3820.xml - Risk management of physical assets supported by maintenance performance indicators
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- A framework to automate fault detection and diagnosis based on moving window principal component analysis and Bayesian network
- Identifying changes in degradation stages for an unsupervised fault prognosis method for engineering systems
- Applying an unsupervised machine learning method for defining maintenance significant items
- Applying cluster analysis to support failure management policy selection in asset management: a hydropower plant case study
Informações sobre o DOI: 10.3850/978-981-14-8593-0 (Fonte: oaDOI API)
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