Results 61 to 70 of about 65,665 (164)

Data-Driven Proactive Early Warning of Grid Congestion Probability Based on Multiple Time Scales

Energies
With the development of new power systems, the increased interactive demand on the load side, and the high proportion of renewable energy sources on the power side, grid congestion problems due to increased system uncertainty are becoming more frequent ...
Haobo Fu, Ruizhuo Wang, Bingxu Zhai, Yuanzhuo Li, Pengyuan Li, Rui Zhang, Haoyuan He, Siyang Liao   +7 more
doaj   +1 more source

Remaining useful life prediction for ball bearings based on health indicators [PDF]

MATEC Web of Conferences, 2019
Uncertainty in remaining useful life (RUL) prediction is nowadays a scientific problem that occupies industrials. Many prognostic models have been developed to respond to this issue from probabilistic to non-probabilistic approaches.
Al Masry Zeina, Schaible Patrick, Zerhouni Noureddine, Varnier Christophe   +3 more
doaj   +1 more source

Innovative Probabilistic Prediction of Accident Occurrence [PDF]

TransNav, 2007
In the present paper, a safety evaluation index that determines the probability of accident occurrence of collision and stranding when the experiment is executed using a ship handling simulator is proposed, by noting Unsafe Ship Handling Situations.
Kinzo Inoue, Masayuki Kawase
doaj  

Quantum Mixture-Density Network for Multimodal Probabilistic Prediction

IEEE Access
Multimodal probability distributions are common in both quantum and classical systems, yet modeling them remains challenging when the number of modes is large or unknown.
Jaemin Seo
doaj   +1 more source

Risk-Aware Multi-Horizon Forecasting of Airport Departure Flow Using a Patch-Based Time-Series Transformer

Aerospace
Airport traffic flow prediction is a basic requirement for air traffic management. Building an effective airport traffic flow prediction model helps reveal how traffic demand evolves over time and supports short-term planning.
Xiangzhi Zhou, Shanmei Li, Siqing Li
doaj   +1 more source

Meta-Learning Probabilistic Inference For Prediction

, 2018
International Conference on Learning Representations (ICLR ...
Gordon, Jonathan, Bronskill, John, Bauer, Matthias, Nowozin, Sebastian, Turner, Richard E   +4 more
openaire   +5 more sources

Probabilistic Prediction of Spudcan Bearing Capacity in Stiff-over-Soft Clay Based on Bayes’ Theorem

Journal of Marine Science and Engineering
During offshore operations of jack-up platforms, the spudcan may experience sudden punch-through failure when penetrating from an overlying stiff clay layer into the underlying soft clay, posing significant risks to platform safety.
Zhaoyu Sun, Pan Gao, Yanling Gao, Jianze Bi, Qiang Gao   +4 more
doaj   +1 more source

Probabilistic Prediction of Concrete Compressive Strength Using Copula Functions: A Novel Framework for Uncertainty Quantification

Buildings
Traditional machine learning models for concrete compressive strength prediction provide only single-value estimates without quantifying the probability of meeting design requirements, leaving engineers unable to make risk-informed decisions.
Cheng Zhang, Senhao Cheng, Shanshan Tao, Shuai Du, Zhengjun Wang   +4 more
doaj   +1 more source

Probabilistic Dependency Networks for Prediction and Diagnostics

CoRR, 2015
Presented at the Transportation Research Board Annual Meeting ...
Narayanan Unny Edakunni, Aditi Raghunathan, Abhishek Tripathi, John Handley, Frédéric Roulland   +4 more
openaire   +2 more sources

A New Two‐Stage Probabilistic Remaining Useful Life Prediction Method for Wind Turbines

Wind Energy
Accurate and reliable modeling of the degradation process is crucial for developing preventive maintenance strategies for wind turbines (WTs). However, the degradation data of WTs exhibit complex patterns and are often interfered with by noise, making it
Weifei Hu, Xuewei Zhou, Qing Jiao, Feng Zhao, Ning Tang, Ke Li, Zili Wang   +6 more
doaj   +1 more source