Standout Papers

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research 2023 2026 2024155
  1. Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research (2023)
    Shruti Patil, Satish Kumar et al. Engineering Applications of Artificial Intelligence

Immediate Impact

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Citing Papers

Few-shot fault diagnosis of axial piston pump based on prior knowledge-embedded meta learning vision transformer under variable operating conditions
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Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges
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2 intermediate papers

Works of Pooja Kamat being referenced

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research
2023 Standout

Author Peers

Author Last Decade Papers Cites
Pooja Kamat 276 89 139 185 33 595
Weiqiang Jia 290 83 128 246 37 701
Maryam Farajzadeh-Zanjani 401 86 199 204 20 623
Feng Yang 229 51 107 147 44 606
Lei Li 169 45 74 218 60 721
Liang Ma 407 104 101 198 28 554
Zhe Li 220 55 107 129 29 590
Omar AlShorman 314 133 78 193 28 658
Andreas Theissler 203 27 222 59 33 626
Mei Yuan 371 114 97 152 23 726
Márcia L. Baptista 231 71 67 90 29 559

All Works

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2026