Shodhganga : a reservoir of Indian theses @ INFLIBNET
The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access.
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/594945
| Title: | Artificial intelligence based power system fault classification and location |
| Researcher: | Roy, Papia |
| Guide(s): | Panigrahi, B. K. and Senroy, N. |
| Keywords: | Engineering Engineering and Technology Engineering Electrical and Electronic |
| University: | Indian Institute of Technology Delhi |
| Completed Date: | 2013 |
| Abstract: | Abstract available newline |
| Pagination: | NA |
| URI: | http://hdl.handle.net/10603/594945 |
| Appears in Departments: | Department of Electrical Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_title.pdf | Attached File | 50.75 kB | Adobe PDF | View/Open |
| 02_prelim pages.pdf | 90.37 kB | Adobe PDF | View/Open | |
| 03_content.pdf | 23.17 kB | Adobe PDF | View/Open | |
| 04_abstract.pdf | 21.6 kB | Adobe PDF | View/Open | |
| 05_chapter 1.pdf | 79.37 kB | Adobe PDF | View/Open | |
| 06_chapter 2.pdf | 395.23 kB | Adobe PDF | View/Open | |
| 07_chapter 3.pdf | 668.72 kB | Adobe PDF | View/Open | |
| 08_chapter 4.pdf | 734 kB | Adobe PDF | View/Open | |
| 09_chapter 5.pdf | 911.57 kB | Adobe PDF | View/Open | |
| 10_chapter 6.pdf | 27.45 kB | Adobe PDF | View/Open | |
| 11_annexures.pdf | 148.59 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 77.79 kB | Adobe PDF | View/Open |
Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Altmetric Badge: