dc.contributor.advisor |
Zaro, Fouad |
|
dc.contributor.author |
Shehadeh, Karma |
|
dc.contributor.author |
Tamimi, Mahmoud |
|
dc.date.accessioned |
2018-10-28T06:52:00Z |
|
dc.date.accessioned |
2022-05-19T11:16:25Z |
|
dc.date.available |
2018-10-28T06:52:00Z |
|
dc.date.available |
2022-05-19T11:16:25Z |
|
dc.date.issued |
2017-05-01 |
|
dc.identifier.uri |
http://localhost:8080/xmlui/handle/123456789/6325 |
|
dc.description |
CD, no of pages 88, 1/2018 طاقة , in the store |
|
dc.description.abstract |
In order to ensure Stability and security of the power system , it's extremely important to detect , and locate different types of faults as fast as possible.
This project is a framework of a protection system that based on artificial intelligence, specifically Artificial Neural Networks . This protection system consists of several networks that can detect , classify and locate different types of faults .
The artificial neural networks of our project have been designed using
MATLAB. And have been tested using MATLAB data , SIMULINK system data and practical data from HEPCO . |
en_US |
dc.language |
English |
|
dc.publisher |
Palestine Polytechnic University - طاقة |
en_US |
dc.subject |
Artificial Neural Networks - Based Protection System |
en_US |
dc.title |
Artificial Neural Networks - Based Protection System |
en_US |
dc.type |
Other |
en_US |