Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/483206
Title: | Online incipient fault diagnosis of induction motors using motor electrical signature analysis |
Researcher: | Sharma, Amandeep |
Guide(s): | Mathew, Lini and Chatterji, Shantanu |
Keywords: | Condition Monitoring Fault Diagnosis Induction Motor Induction Motor Faults Machine Learning |
University: | Panjab University |
Completed Date: | 2021 |
Pagination: | xx, 279p. |
URI: | http://hdl.handle.net/10603/483206 |
Appears in Departments: | National Institute of Technical Teachers Training and Research (NITTTR) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 28.17 kB | Adobe PDF | View/Open Request a copy |
02_prelim pages.pdf | 1.84 MB | Adobe PDF | View/Open Request a copy | |
03_chapter_1.pdf | 959.92 kB | Adobe PDF | View/Open Request a copy | |
04_chapter_2.pdf | 333.77 kB | Adobe PDF | View/Open Request a copy | |
05_chapter_3.pdf | 1.11 MB | Adobe PDF | View/Open Request a copy | |
06_chapter_4.pdf | 5.91 MB | Adobe PDF | View/Open Request a copy | |
07_chapter_5.pdf | 1.22 MB | Adobe PDF | View/Open Request a copy | |
08_chapter_6.pdf | 1.52 MB | Adobe PDF | View/Open Request a copy | |
09_chapter_7.pdf | 121.61 kB | Adobe PDF | View/Open Request a copy | |
10_annexure.pdf | 522.53 kB | Adobe PDF | View/Open Request a copy | |
80_recommendation.pdf | 136.94 kB | Adobe PDF | View/Open Request a copy |
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