| Full text | |
| Author(s): |
Fogliatto, Matheus S. S.
[1]
;
Desuo, Luiz N.
[1]
;
Ribeiro, Rafael R. M.
[1]
;
Monteiro, Jose Roberto B. A.
[1]
;
London, Joao B. A.
[1]
;
Bessani, Michel
[2]
;
Maciel, Carlos D.
[1]
Total Authors: 7
|
| Affiliation: | [1] Univ Sao Paulo, Sao Carlos - Brazil
[2] Univ Fed Minas Gerais, Belo Horizonte, MG - Brazil
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS; JAN 2022. |
| Web of Science Citations: | 0 |
| Abstract | |
Electricity is a fundamental resource for modern society. However, some threats are faced by electrical power distribution systems, which are responsible for delivering electricity to end consumers. Analysing how much time these hazards will threaten these systems, causing failure events, is an essential area of study. Through statistical methods, it is possible to study this behaviour from time until failure, as well as to observe the influence of variables at this time, providing models to predict when a failure event will occur. In this study, reliability analysis regression techniques are used on real data, constructing a model for all failures and for different groups of failures, using nonparametric and parametric methods to estimate the reliability and cumulative hazard curves. An analysis of the failure causes directly linked to weather events, using six weather variables, is also made. (AU) | |
| FAPESP's process: | 18/19150-6 - Resilience of complex systems with the use of dynamic Bayesian networks: a probabilistic approach |
| Grantee: | Carlos Dias Maciel |
| Support Opportunities: | Scholarships abroad - Research |
| FAPESP's process: | 14/50851-0 - INCT 2014: National Institute of Science and Technology for Cooperative Autonomous Systems Applied in Security and Environment |
| Grantee: | Marco Henrique Terra |
| Support Opportunities: | Research Projects - Thematic Grants |