| Issue |
E3S Web Conf.
Volume 546, 2024
2024 2nd International Conference on Green Building (ICoGB 2024)
|
|
|---|---|---|
| Article Number | 02004 | |
| Number of page(s) | 8 | |
| Section | Green Building Technology and Innovation | |
| DOI | https://doi.org/10.1051/e3sconf/202454602004 | |
| Published online | 09 July 2024 | |
Optimal maintenance management for synchronous generators: A condition-based approach to predict and assess equipment wear
1 Universidad Politécnica Salesiana (UPS), Facultad de Electricidad, Guayaquil, Ecuador
2 University Of Queensland, Brisbane, Australia. Escuela Superior Politécnica del Litoral (ESPOL), Campus Gustavo Galindo, Guayaquil 090902, Ecuador
* Corresponding author: gjimenezv3@est.ups.edu.ec
Currently, effective and early detection of potential failures is of paramount importance in power generation systems, posing a significant challenge for generating companies. This article proposes optimal maintenance policies using a condition-based maintenance (CBM) architecture for a case study based on a synchronous generator. These policies are defined based on the estimated degradation index of the different components of the synchronous generator. The results obtained demonstrate that the proposed model is capable of suggesting an accurate optimal maintenance policy by relating the severity of component damage to the average maintenance cost.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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