Results 71 to 80 of about 286,515 (301)
Fast fault detection during power swing on a hybrid transmission line using WPT
IET Generation, Transmission & Distribution, 2019 This paper presents a new technique for very high speed detection of fault during power swing on a hybrid transmission line consisting of an overhead line and an underground cable.
Bikash Patel, Parthasarathi Bera
doaj +1 more source
Insulator defect detection with deep learning: A survey
IET Generation, Transmission & Distribution, 2023 With the improvement of smart grid, utilizing unmanned aerial vehicles (UAV) to detect the operation status of insulators has attracted widespread attention.
Yue Liu +3 more
doaj +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
Molecular Oncology, EarlyView.Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source
Automatic Detection of Electric Power Troubles (ADEPT) [PDF]
Automatic Detection of Electric Power Troubles (A DEPT) is an expert system that integrates knowledge from three different suppliers to offer an advanced fault-detection system.
Anderson, Audie +5 more
core +4 more sources
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
Sensor fault detection with low computational cost : a proposed neural network-based control scheme [PDF]
, 2012 The paper describes a low computational power method for detecting sensor faults. A typical fault detection unit for multiple sensor fault detection with modelbased approaches, requires a bank of estimators.
Deliparaschos, Kyriakos M. +2 more
core +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
Energies, 2019 Fault analysis in photovoltaic (PV) arrays is considered important for improving the safety and efficiency of a PV system. Faults do not only reduce efficiency but are also detrimental to the life span of a system.
Saba Gul +4 more
doaj +1 more source
Classification of EMI discharge sources using time–frequency features and multi-class support vector machine [PDF]
, 2018 This paper introduces the first application of feature extraction and machine learning to Electromagnetic Interference (EMI) signals for discharge sources classification in high voltage power generating plants.
Boreham, Philip +5 more
core +2 more sources