Artificial intelligent based technique for partial discharge detection / Rosainy Baharom
This project presents an artificial intelligent based technique for partial discharge (PD) detection. The study involves an artificial neural network (ANN) development which will be used to train and test a series of data set in order to predict the presence of PD. The PD data are generated using a...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2011
|
| Online Access: | https://ir.uitm.edu.my/id/eprint/84539/1/84539.pdf https://ir.uitm.edu.my/id/eprint/84539/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.uitm.ir.84539 |
|---|---|
| record_format |
eprints |
| spelling |
my.uitm.ir.845392024-02-19T07:24:51Z https://ir.uitm.edu.my/id/eprint/84539/ Artificial intelligent based technique for partial discharge detection / Rosainy Baharom Baharom, Rosainy This project presents an artificial intelligent based technique for partial discharge (PD) detection. The study involves an artificial neural network (ANN) development which will be used to train and test a series of data set in order to predict the presence of PD. The PD data are generated using a PD circuit, controlled by the various parameters in the circuit. The generated data will be grouped into training and testing data. Two programmed are developed namely the training programme and testing programme. The developed ANN model is able to predict the occurrence of partial discharge under various scenarios. 2011 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/84539/1/84539.pdf Artificial intelligent based technique for partial discharge detection / Rosainy Baharom. (2011) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). |
| institution |
Universiti Teknologi Mara |
| building |
Tun Abdul Razak Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Mara |
| content_source |
UiTM Institutional Repository |
| url_provider |
http://ir.uitm.edu.my/ |
| language |
English |
| description |
This project presents an artificial intelligent based technique for partial discharge (PD) detection. The study involves an artificial neural network (ANN) development which will be used to train and test a series of data set in order to predict the presence of PD. The PD data are generated using a PD circuit, controlled by the various parameters in the circuit. The generated data will be grouped into training and testing data. Two programmed are developed namely the training programme and testing programme. The developed ANN model is able to predict the occurrence of partial discharge under various scenarios. |
| format |
Thesis |
| author |
Baharom, Rosainy |
| spellingShingle |
Baharom, Rosainy Artificial intelligent based technique for partial discharge detection / Rosainy Baharom |
| author_facet |
Baharom, Rosainy |
| author_sort |
Baharom, Rosainy |
| title |
Artificial intelligent based technique for partial discharge detection / Rosainy Baharom |
| title_short |
Artificial intelligent based technique for partial discharge detection / Rosainy Baharom |
| title_full |
Artificial intelligent based technique for partial discharge detection / Rosainy Baharom |
| title_fullStr |
Artificial intelligent based technique for partial discharge detection / Rosainy Baharom |
| title_full_unstemmed |
Artificial intelligent based technique for partial discharge detection / Rosainy Baharom |
| title_sort |
artificial intelligent based technique for partial discharge detection / rosainy baharom |
| publishDate |
2011 |
| url |
https://ir.uitm.edu.my/id/eprint/84539/1/84539.pdf https://ir.uitm.edu.my/id/eprint/84539/ |
| _version_ |
1792159382713139200 |
| score |
13.18916 |