Computers in Industry
暂无分享,去创建一个
[1] Felipe A. C. Viana,et al. A Physics-informed Neural Network for Wind Turbine Main Bearing Fatigue , 2023, International Journal of Prognostics and Health Management.
[2] J. Coble,et al. Wind Turbine Bearing Fault Detection Using Adaptive Resampling and Order Tracking , 2020 .
[3] Eric Bechhoefer,et al. Lubrication Oil Condition Monitoring and Remaining Useful Life Prediction with Particle Filtering , 2020 .
[4] Arinan Dourado,et al. Physics-Informed Neural Networks for Missing Physics Estimation in Cumulative Damage Models: A Case Study in Corrosion Fatigue , 2020, J. Comput. Inf. Sci. Eng..
[5] Bin Zhang,et al. Bearing performance degradation assessment using long short-term memory recurrent network , 2019, Comput. Ind..
[6] Felipe A. C. Viana,et al. Fleet Prognosis with Physics-informed Recurrent Neural Networks , 2019, Structural Health Monitoring 2019.
[7] Kirthevasan Kandasamy,et al. Neural Architecture Search with Bayesian Optimisation and Optimal Transport , 2018, NeurIPS.
[8] Maziar Raissi,et al. Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations , 2018, J. Mach. Learn. Res..
[9] Li Fei-Fei,et al. Progressive Neural Architecture Search , 2017, ECCV.
[10] Antoine Tahan,et al. Bearing temperature monitoring of a Wind Turbine using physics-based model , 2017 .
[11] Hui Long,et al. Characterisation of white etching crack damage in wind turbine gearbox bearings , 2015 .
[12] Takanori Uchida,et al. Micro-Siting of Wind Turbine in Complex Terrain: Simplified Fatigue Life Prediction of Main Bearing in Direct Drive Wind Turbines , 2015 .
[13] Bri-Mathias Hodge,et al. The Wind Integration National Dataset (WIND) Toolkit , 2015 .
[14] K. Stadler,et al. A Review: The Dilemma With Premature White Etching Crack (WEC) Bearing Failures , 2015 .
[15] Yi Guo,et al. Main Bearing Dynamics in Three-Point Suspension Drivetrains for Wind Turbines; National Wind Technology Center (NWTC), NREL (National Renewable Energy Laboratory) , 2015 .
[16] J. Luyckx. White Etching Crack Failure Mode in Roller Bearings: From Observation via Analysis to Understanding and an Industrial Solution , 2012 .
[17] P. Lugt. A Review on Grease Lubrication in Rolling Bearings , 2009 .
[18] Gianluca Pollastri,et al. A neural network approach to ordinal regression , 2007, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).
[19] Alex Aussem,et al. Dynamical recurrent neural networks towards prediction and modeling of dynamical systems , 1999, Neurocomputing.
[20] S. Hochreiter,et al. Long Short-Term Memory , 1997, Neural Computation.
[21] Barak A. Pearlmutter. Learning State Space Trajectories in Recurrent Neural Networks , 1989, Neural Computation.
[22] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..