Results 41 to 50 of about 108,225 (350)
Topology assessment for 3 + 3 terminal offshore DC grid considering DC fault management [PDF]
, 2014 Peer ...
Jovcic, Dragan +3 more
core +1 more source
Fault detection in transmission networks of power systems
International Journal of Electrical Power & Energy Systems, 2011 Abstract An online fault detection scheme for a sample power system is introduced in this paper. The detection approach is based on the use of a variable structure system called “sliding mode observer”, where information contained in the output measurements is utilized to detect the onset of faults in the transmission network of the sample power ...
S. Saha, M. Aldeen, C.P. Tan
openaire +1 more source
Early warning fault detection using artificial intelligent methods [PDF]
, 1996 This paper describes a research investigation to access the feasibility of using an Artificial Intelligence (AI) method to predict and detect faults at an early stage in power systems. An AI based detector has been developed to monitor and predict faults
Ryan, H. M., Tindle, J., Wong, K. C. P.
core
Assessing the reliability of adaptive power system protection schemes [PDF]
, 2012 Adaptive power system protection can be used to improve the performance of existing protection schemes under certain network conditions. However, their deployment in the field is impeded by their perceived inferior reliability compared to existing ...
Abdulhadi, Ibrahim Faiek +3 more
core +1 more source
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
Power system fault prediction using artificial neural networks [PDF]
, 1996 The medium term goal of the research reported in this paper was the development of a major in-house suite of strategic computer aided network simulation and decision support tools to improve the management of power systems.
Ryan, H. M., Tindle, J., Wong, K. C. P.
core
Power converter fault analysis in hvdc transmission line
, 2021 Nüfus artışı, büyüyen kentler, artan enerji talebi ve artan çevre sorunları enerji iletim sistemlerinin yetersiz kalmasına yol açmaktadır. Özellikle yoğun nüfuslu bölgelerde yeni HVAC iletim hatlarının yapılması için yeterli alanı bulmak giderek zorlaşmaktadır.
openaire +2 more sources
Development of Fault Characterization Equipment (FCAREC) for Power Transmission Lines
IEEJ Transactions on Power and Energy, 1992 The authors present fault characterization equipment (FCAREC) which detects fault resistances in a time sequence, in addition to the conventional determination of fault location. The objective of FCAREC is to offer improved functions to estimate causes of system faults.
K. Tsuji, H. Yanagida, H. Sasaki, S. Abe
openaire +2 more sources
Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Molecular Oncology, EarlyView.Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
MLPNN and Ensemble Learning Algorithm for Transmission Line Fault Classification
International Transactions on Electrical Energy SystemsRecently, Bangladesh experienced a system loss of 11.11%, leading to significant power cuts, largely due to faults in power transmission lines. This paper proposes the XGBoost machine learning method for classifying electric power transmission line ...
Tanbir Rahman +4 more
doaj +1 more source