Standout Papers

Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architectur... 2018 2026 2020 2023 324
  1. Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture (2018)
    André Listou Ellefsen, Emil Bjørlykhaug et al. Reliability Engineering & System Safety

Citation Impact

52 standout
Sub-graph 1 of 23

Citing Papers

Analysis of CO2 pipeline regulations from a safety perspective for offshore carbon capture, utilization, and storage (CCUS)
2024 Standout
Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines
2024 Standout
4 intermediate papers

Works of Sergey Ushakov being referenced

Methane slip from gas fuelled ships: a comprehensive summary based on measurement data
2019
Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture
2018 Standout
and 2 more

Author Peers

Author Automotive Engineering Environmental Engineering FFTP CSE Last Decade Papers Cites
Sergey Ushakov 134 143 91 302 13 665
Ben Lippmeier 6 19
Billy Koe 22 1 7 342
Haining Fan 13 46 484
Lynn Cialdella‐Kam 23 560
Liane Lewin-Eytan 2 8 9 78

All Works

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2026