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/10603/546414
| Title: | Fault detection and diagnosis of 3 phase induction motor employing advanced spectral techniques and machine learning for stator current |
| Researcher: | Chikkam, Srinivas |
| Guide(s): | Singh, Sachin |
| Keywords: | Engineering Engineering and Technology Engineering Electrical and Electronic |
| University: | National Institute of Technology Delhi |
| Completed Date: | 2024 |
| Pagination: | xii, 136p. |
| URI: | http://hdl.handle.net/10603/546414 |
| Appears in Departments: | Electrical & Electronics Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 02_prelim pages.pdf | Attached File | 182.51 kB | Adobe PDF | View/Open |
| 03_contents.pdf | 76.29 kB | Adobe PDF | View/Open | |
| 05_chapter 1.pdf | 331.04 kB | Adobe PDF | View/Open | |
| 06_chapter 2.pdf | 386.34 kB | Adobe PDF | View/Open | |
| 07_chapter 3.pdf | 1.48 MB | Adobe PDF | View/Open | |
| 09_chapter 5.pdf | 983.05 kB | Adobe PDF | View/Open | |
| 10_annexures.pdf | 217.29 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 51.38 kB | Adobe PDF | View/Open |
Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
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