Results 81 to 90 of about 10,991 (266)

Incipient Fault Detection in Power Distribution Networks: Review, Analysis, Challenges, and Future Directions

IEEE Access
This review paper explores the landscape of incipient fault detection methodologies within power distribution networks. It aims to provide insights into the current state-of-the-art techniques, their effectiveness, and potential avenues for future ...
Abdul Haleem Medattil Ibrahim, Sajan K. Sadanandan, Tareg Ghaoud, Vetrivel Subramaniam Rajkumar, Madhu Sharma   +4 more
doaj   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Bayesian Estimation Improves Prediction of Outcomes After Epilepsy Surgery

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We estimated the statistical power of studies predicting seizure freedom after epilepsy surgery. We extracted data from a Cochrane meta‐analysis. The median power across all studies was 14%. Studies with a median sample size or less (n ≤ 56) and a statistically significant result exaggerated the true effect size by a factor of 5.4, while the ...
Adam S. Dickey, Vineet Reddy, Ammar A. Rashied, Nigel P. Pedersen, Robert T. Krafty   +4 more
wiley   +1 more source

Fault recovery strategy for urban distribution networks using soft open points

Energy Conversion and Economics
In recent years, the frequent occurrence of natural disasters has seriously threatened the security and stability of distribution networks. Amidst these natural disasters, researchers have increasingly focused on ensuring fault recovery in distribution ...
Liangsheng Lan, Guangqi Liu, Sitong Zhu, Min Hou, Xinrui Liu   +4 more
doaj   +1 more source

Fault detection and classification in a DG powered LVDC distribution system using machine learning algorithm

e-Prime: Advances in Electrical Engineering, Electronics and Energy
Distributed Generation has become an integral part of the microgrid system predominantly powered by solar PV systems. Electric Vehicles, renewable energy sources, and household appliances are just a few examples of the increasing number of DC loads that ...
Ankush Kumar M․, Shubham T․M․, Farha Naz, Rajkumar Jhapte, Vishal Moyal   +4 more
doaj   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +10 more
wiley   +1 more source

Voltage Sags Matching to Locate Faults for Underground Distribution Networks

Advances in Electrical and Computer Engineering, 2011
A voltage sags matching to locate a fault for underground distribution network is presented in this paper. Firstly the method identifies the faulted section by matching a voltage sags measured at the primary substation during a fault with pre-developed ...
BAKAR, A. H. A., MOHAMAD, H., MOKHLIS, H., LI, H.   +3 more
doaj   +1 more source

REAL-TIME FAULT DETECTION IN POWER DISTRIBUTION NETWORKS

International Journal of Applied and Advanced Engineering Research
This study focuses on improving fault detection methods in power distribution systems, an area that has become increasingly important due to ageing infrastructure and growing energy demands. Quick and accurate identification of faults is vital to ensure grid stability, reduce service interruptions, and protect electrical equipment from damage.
null A. E. AIROBOMAN, null I. D. AKABE, null J. E. OMATSEYE   +2 more
openaire   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett, Abigail Dubois, Melanie Leguizamon, Alexander Song, Paula Trujillo, Colin D. McKnight, Ciaran M. Considine, Manus J. Donahue, Daniel O. Claassen   +8 more
wiley   +1 more source