Standout Papers

Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry 2021 2026 2022 2024235
  1. Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry (2021)
    Andreas Theissler, Judith Pérez-Velázquez et al. Reliability Engineering & System Safety

Immediate Impact

64 standout
Sub-graph 1 of 23

Citing Papers

Process monitoring for tower pumping units under variable operational conditions: From an integrated multitasking perspective
2025 Standout
Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges
2025 Standout
3 intermediate papers

Works of Marcel Kettelgerdes being referenced

Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry
2021 Standout
Thermo-mechanical-optical coupling within a digital twin development for automotive LiDAR
2021

Author Peers

Author Last Decade Papers Cites
Marcel Kettelgerdes 10 58 11 95 48 12 259
Finn Tseng 42 4 76 33 8 171
Shahin Siahpour 43 19 90 26 14 241
Zakwan Skaf 47 5 111 17 12 238
Carla Di Cairano‐Gilfedder 32 7 69 20 15 224
Minglan Xiong 2 101 8 80 21 13 259
Donghao Zhang 69 6 130 78 15 296
Elena Quatrini 129 2 72 38 9 296
Haiyue Wu 75 8 112 41 8 246
Shang-Kuo Yang 23 161 28 17 297
Juseong Lee 38 4 101 21 12 278

All Works

Loading papers...

Rankless by CCL
2026