Immediate Impact
36 standout
Citing Papers
MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios
2024 Standout
Paradigm shift for predictive maintenance and condition monitoring from Industry 4.0 to Industry 5.0: A systematic review, challenges and case study
2024 Standout
Works of Faisel J. Uppal being referenced
FAULT DIAGNOSIS OF AN INDUSTRIAL GAS TURBINE USING NEURO-FUZZY METHODS
2002
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Faisel J. Uppal | 205 | 60 | 11 | 61 | 12 | 234 | |
| Mihiar Ayoubi | 186 | 62 | 14 | 74 | 14 | 233 | |
| Teodor Marcu | 184 | 46 | 5 | 66 | 12 | 220 | |
| Birgit Köppen-Seliger | 258 | 70 | 10 | 84 | 15 | 285 | |
| Wojciech Cholewa | 165 | 83 | 13 | 55 | 14 | 281 | |
| Thomas Buchegger | 182 | 88 | 19 | 99 | 12 | 298 | |
| Emine Ayaz | 186 | 44 | 18 | 79 | 14 | 264 | |
| Saad Ashraf | 69 | 34 | 10 | 54 | 21 | 162 | |
| B.R. Menezes | 164 | 54 | 9 | 67 | 12 | 237 | |
| C.J. Lopez-Toribio | 126 | 41 | 5 | 39 | 7 | 143 | |
| Muhammad Amar | 175 | 26 | 6 | 116 | 11 | 227 |
All Works
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