Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/439886
Title: | Development of Deep Learning Based Multiple Fault Detection Approach for Squirrel Cage Induction Motor |
Researcher: | Kumar, Prashant |
Guide(s): | Hati, Ananda Shankar |
Keywords: | Engineering Engineering and Technology Engineering Electrical and Electronic |
University: | Indian Institute of Technology (ISM), Dhanbad |
Completed Date: | 2022 |
Abstract: | Available newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/439886 |
Appears in Departments: | Department of Mining Machinery Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 190.12 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.03 MB | Adobe PDF | View/Open | |
03_table of content.pdf | 52.78 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 48.74 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 74.25 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 6.5 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 8.63 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 6.89 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 7.24 MB | Adobe PDF | View/Open | |
10_annexure.pdf | 190.51 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 250.93 kB | Adobe PDF | View/Open |
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