| Type of Material: | Thesis |
| Title: | Real-time monitoring and prognostics of rotating machinery using hybrid deep learning for bearing fault diagnosis and life prediction |
| Researcher: | Bharatheedasan, Kumaran |
| Guide: | Maity, Tanmoy | Kumaraswamidhas, L.A | Muruganandam, D. |
| Department: | Dept of Electrical Engineering |
| Publisher: | Indian School of Mines, Dhanbad |
| Place: | Dhanbad |
| Year: | 2025 |
| Language: | English |
| Subject: | Electrical Engineering | Electrical Engineering | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Dept of Electrical Engineering, Indian School of , Dhanbad; 2025; 17DP000279 |
| 000 | 00000ntm a2200000ua 4500 | |
| 001 | 458285 | |
| 003 | IN-AhILN | |
| 005 | 2025-08-04 17:23:08 | |
| 008 | __ | 250804t2025||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_458285 |
| 040 | __ | |aISMD_826004|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aBharatheedasan, Kumaran|eResearcher |
| 110 | __ | |aDept of Electrical Engineering|bIndian School of Mines, Dhanbad|dDhanbad|ein|0U-0205 |
| 245 | __ | |aReal-time monitoring and prognostics of rotating machinery using hybrid deep learning for bearing fault diagnosis and life prediction |
| 260 | __ | |aDhanbad|bIndian School of Mines, Dhanbad|c2025 |
| 502 | __ | |bPhD|cDept of Electrical Engineering, Indian School of , Dhanbad|d2025|o17DP000279 |
| 518 | __ | |oDate of Notification|d2025-07-14 |
| 650 | __ | |aElectrical Engineering|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aElectrical Engineering |
| 700 | __ | |aMaity, Tanmoy|eGuide |
| 700 | __ | |aKumaraswamidhas, L.A |
| 700 | __ | |aMuruganandam, D. |
| 905 | __ | |anotification |
User Feedback Comes Under This section.