Results 1 to 10 of about 115,222 (300)

The study on the Mal-operation of the transformer current differential protection during external faults cause by CT saturation [PDF]

open access: yesE3S Web of Conferences, 2021
This paper analyses the unusual mal-operation of the differential protection for transformer current differential protection during the external fault. The mal-operation reason is researched in detail, based on the mathematical analysis, the simulation ...
Wu Jianhong   +5 more
doaj   +3 more sources

Data-Driven Three-Phase Saturation Identification from X-ray CT Images with Critical Gas Hydrate Saturation [PDF]

open access: yesEnergies, 2020
This study proposes three-phase saturation identification using X-ray computerized tomography (CT) images of gas hydrate (GH) experiments considering critical GH saturation (SGH,C) based on the machine-learning method of random forest.
Sungil Kim   +3 more
doaj   +2 more sources

CT Saturation Detection with Calculation of Instantaneous Impedance of Magnetic Branch Using FILT [PDF]

open access: yesمجله مدل سازی در مهندسی, 2017
Accurate indiscrimination of CT saturation can be caused mal-operation of protection systems. Due to nonlinear and loss characteristic behavior of CTs, it is necessary to use a numerical method to detect CT saturation, accurately.
Alireza Fallahi   +2 more
doaj   +3 more sources

Fast Detection of Current Transformer Saturation Using Stacked Denoising Autoencoders [PDF]

open access: yesEnergies, 2023
Malfunctions in relay protection devices are predominantly caused by current transformer (CT) saturation which produces distortion in current measurements and disturbances in power system protection.
Sopheap Key   +3 more
doaj   +2 more sources

Current transformer (CT) saturation classification using empirical mode decomposition (EMD) and relevance vector machine (RVM) [PDF]

open access: yesScientific Reports
The fault is taking place in the power system where the saturation of the Current Transformer (CT) is occurring, among other variations of system parameters.
Nilesh Chothani   +3 more
doaj   +2 more sources

An Accurate CT Saturation Classification Using a Deep Learning Approach Based on Unsupervised Feature Extraction and Supervised Fine-Tuning Strategy [PDF]

open access: yesEnergies, 2017
Current transformer (CT) saturation is one of the significant problems for protection engineers. If CT saturation is not tackled properly, it can cause a disastrous effect on the stability of the power system, and may even create a complete blackout.
Muhammad Ali   +3 more
doaj   +2 more sources

Research on oil displacement mechanism in conglomerate using CT scanning method [PDF]

open access: yesPetroleum Exploration and Development, 2014
Taking the conglomerate from Xinjiang Oilfield as study object, the porosity distribution characteristics of the conglomerate were analyzed with CT scanning; through the online monitoring of the water and polymer flooding process in a conglomerate core ...
Shiguan DENG   +9 more
doaj   +4 more sources

Extra‐sensitive impedance differential protection immune to CT saturation

open access: yesIET Generation, Transmission & Distribution, 2020
For extra‐high voltage transmission lines configured with a communication channel, the current differential protection is facing a dilemma between sensitivity and security. On the one hand, the resistive coverage will not be sufficiently high if security
Ning Tong   +6 more
doaj   +2 more sources

Saturation Detection-Based Blocking Scheme for Transformer Differential Protection [PDF]

open access: yesEnergies, 2014
This paper describes a current differential relay for transformer protection that operates in conjunction with a core saturation detection-based blocking algorithm.
Byung Eun Lee   +5 more
doaj   +2 more sources

Saturation Modeling of Gas Hydrate Using Machine Learning with X-Ray CT Images [PDF]

open access: yesEnergies, 2020
This study conducts saturation modeling in a gas hydrate (GH) sand sample with X-ray CT images using the following machine learning algorithms: random forest (RF), convolutional neural network (CNN), and support vector machine (SVM).
Sungil Kim   +6 more
doaj   +2 more sources

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