![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
"A reliable approach for detection of incipient faults of short-circuits in ..."
Pedro Pedrosa Rebouças Filho et al. (2018)
- Pedro Pedrosa Rebouças Filho
, Navar Medeiros M. e Nascimento, Igor Rocha de Sousa, Cláudio Marques de Sá Medeiros, Victor Hugo C. de Albuquerque
:
A reliable approach for detection of incipient faults of short-circuits in induction generators using machine learning. Comput. Electr. Eng. 71: 440-451 (2018)
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.