Standout Papers

Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings... 2017 2026 2020 2023 308
  1. Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings (2017)
    David Verstraete, Enrique López Droguett et al. Shock and Vibration

Immediate Impact

68 standout
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Citing Papers

Data-driven machinery fault diagnosis: A comprehensive review
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A Survey on Intelligent Network Operations and Performance Optimization Based on Large Language Models
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1 intermediate paper

Works of David Verstraete being referenced

Deep semi-supervised generative adversarial fault diagnostics of rolling element bearings
2019
Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings
2017 Standout

Author Peers

Author Last Decade Papers Cites
David Verstraete 299 188 15 106 3 381
X.J. Li 338 224 6 147 4 395
Wei Gao 348 206 6 137 5 400
Shengli Zhang 306 218 12 130 7 426
Jin Ji Gao 341 235 7 148 7 400
Jinhao Lei 267 115 8 77 2 360
Pengcheng Jiang 297 189 11 92 12 384
Pratyay Konar 382 215 5 129 8 436
Tauheed Mian 327 218 6 166 11 451
Wei Li 311 197 4 93 6 384
Jong-Duk Son 278 193 6 88 12 391

All Works

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2026