| Type of Material: | Thesis |
| Title: | Development of deep learning based multiple fault detection approach for Squirrel cage induction motor |
| Researcher: | Kumar, Prashant |
| Guide: | Hati, Anand Shankar |
| Department: | Department of Mining Machinery Engineering |
| Publisher: | Indian School of Mines, Dhanbad |
| Place: | Dhanbad |
| Year: | 2022 |
| Language: | English |
| Subject: | Deep learning | Squirrel cage induction motor |
| Dissertation/Thesis Note: | PhD |
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| 001 | 444464 | |
| 003 | IN-AhILN | |
| 005 | 2022-07-19 16:11:35 | |
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| 100 | __ | |aKumar, Prashant|eResearcher |
| 110 | __ | |aDepartment of Mining Machinery Engineering|bIndian School of Mines, Dhanbad|dDhanbad |
| 245 | __ | |aDevelopment of deep learning based multiple fault detection approach for Squirrel cage induction motor |
| 260 | __ | |aDhanbad|bIndian School of Mines, Dhanbad|c2022 |
| 502 | __ | |bPhD |
| 653 | __ | |aDeep learning |
| 653 | __ | |aSquirrel cage induction motor |
| 700 | __ | |aHati, Anand Shankar|eGuide |
| 905 | __ | |anotification |
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