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Differences between dry type transformer and oil immersed …

The coil of the transformer is immersed in the oil, and the coil of the transformer can not be seen from the outside; while the dry-type transformer has no oil, so there is no shell, and some can ...

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Frontiers | Improved Genetic Algorithm and XGBoost Classifier …

In the population selection process of the TGA, the generation of candidate solutions after initialization is called the population. Each individual of the generated population has its chromosome coding to represent the parameters of the classifier and the input features extracted from DGA data, as shown in Figure 2.Each chromosome coding contains n bit …

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A General Methodology for Evaluation and Classification of Oil-Immersed

The development and use of predictive techniques aimed at increasing the efficiency of preventive maintenance processes are essential to preserve the service life of power transformers, which are vital and high-cost devices in the power transmission and distribution system (Marques et al. 2014; Jahromi et al. 2009).Obviously, the same …

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Fault detection and diagnosis in power transformers: a …

A transformer state transition model based on the principle of Markov chain is established, which can predict possible defects 2 h in advance and achieve good results, and determine the transformer state early warning index, providing sufficient time for monitoring personnel to deploy transformer operation and maintenance work in advance.

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Low-Immersion versus High-Immersion Virtual Reality: …

Low-immersive VR is defined as applications controlled with a keyboard or mouse on the desktop, while high-immersive VR is defined as applications controlled …

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Transformer Cooling Systems and Methods Explained

The cooling classification of a transformer, expressed in letters, designates the type of cooling system used. Dry-Type Transformers. Dry-type transformers feature coils in open air and depend primarily on convection currents created by the transformer's heat to generate airflow across the coils and maintain cool temperatures.

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Data augmentation for fault diagnosis of oil-immersed …

In order to verify the effectiveness of CVAE on different classifiers and the higher classification accuracy of 1D-CNN compared to other classifiers. Therefore, after data augmentation by CVAE, the classifiers, such as SVM, logistic regression, AdaBoost, and Bagging Classifier are used for classification experiments.

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Assessment of a non-invasive high-throughput classifier for …

Performance is analyzed through an experiment comparing results from direct human observation and classification of the different behaviours with an automatic classifier used in conjunction with this system. Experimental results from over 28.5 hours of data from 4 mice indicate a 94% classification rate relative to the human observations.

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Conventional methods of dissolved gas analysis using oil-immersed …

Whereas liquid immersed type is commonly used outdoors. As such, it has the benefits of being smaller in size, less expensive, and has improved overload capabilities [2,3]. Power transformers are important components of the power grid both in transmission and distribution systems.

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GTEK Spiral Classifier

Spiral classifiers mainly include four types. They are high type single spiral classifier, high type double spiral classifier, immersed type single spiral …

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FAQ

Immersed is now available on the Quest 3, Meta Quest 2, Meta Quest Pro, HTC Vive Focus 3 and Pico 4.Pico 4 China coming soon. We will release to other XR platforms in the future. PC, Mac, and Linux are supported for displaying screens in Immersed.

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Versatility of Hydrogels: From Synthetic Strategies, Classification …

Three-dimensional (3D) hydrophilic polymer chains that expand in water and contain a high quantity of water are called hydrogels that were first reported by Wichterle and Lim in 1960 [1,2,3].The hydrophilic functionalities are responsible for holding a large amount of water, and the network chains' cross-linking allows them to retain water in …

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Immersed Methods for Fluid–Structure Interaction

Fluid–structure interaction is ubiquitous in nature and occurs at all biological scales. Immersed methods provide mathematical and computational frameworks for modeling fluid–structure systems. These methods, which typically use an Eulerian description of the fluid and a Lagrangian description of the structure, can treat thin immersed boundaries …

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Discriminative Ridge Machine: A Classifier for High

In this article, we introduce a discriminative ridge regression approach to supervised classification. It estimates a representation model while accounting for discriminativeness between classes, thereby enabling accurate derivation of categorical information. This new type of regression model exten …

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A New Rotor-Type Dynamic Classifier: Structural …

Due to the inadequate pre-dispersion and high dust concentration in the grading zone of the turbo air classifier, a new rotor-type dynamic classifier with air and material entering from the bottom ...

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9.9: Superconductivity

At present, applications involving superconductors often still require that superconducting materials be immersed in liquid helium (4.2 K) in order to keep them below their critical temperature. The liquid helium baths must be continually replenished because of evaporation, and cooling costs can easily outweigh the savings in using a ...

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Observation points classifier ensemble for …

To deal with high-dimensional imbalanced classification (HDIC) problems, a novel observation points classifier (OPC) and its ensemble (OPCE) algorithm were developed based on the low …

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Cyclone Classifier, High Quality Cyclone Classifier on …

China Cyclone Classifier products offered by Shanghai Sievo Heavy Equipment Co., Ltd., and find Cyclone Classifier on Bossgoo

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Energies | Free Full-Text | Dissolved Gas Analysis Principle …

Compared with conventional methods of fault diagnosis for power transformers, which have defects such as imperfect encoding and too absolute encoding boundaries, this paper systematically discusses various intelligent approaches applied in fault diagnosis and decision making for large oil-immersed power transformers based on dissolved gas …

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A fault diagnostic method for oil-immersed transformer …

Fig. 1 shows the classification results of the traditional SVM method which is a hard classification method with different parameters in two groups, where the category 1 and category 2 samples in the training sample set are marked with symbols "." and "×" separately, and the sample to be judged is marked with symbol "+". Under the two sets …

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Guide to Transformer Cooling Classes

Oil-immersed self-cooled: ONAN: Oil-immersed forced-air-cooled: ONAF: Oil-immersed forced-oil-cooled (non-directed flow) with forced-air cooler: OFAF: ... Dry-type transformer cooling. The cooling classifications for dry-type transformers use similar conventions as oil-filled units. Dry-types all use ambient air for the primary cooling medium.

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[2401.07823] A three-grid high-order immersed finite …

The automated finite element analysis of complex CAD models using boundary-fitted meshes is rife with difficulties. Immersed finite element methods are intrinsically more robust but usually less accurate. In this work, we introduce an efficient, robust, high-order immersed finite element method for complex CAD models. Our …

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Electronics | Free Full-Text | Fault Diagnosis of Oil-Immersed …

Oil-immersed transformers are essential components of power systems and play a critical role in the transmission and distribution of electrical energy [1,2].However, prolonged operation and high-load conditions can lead to a deterioration in equipment performance, and even severe damage, posing a threat to the stability and reliability of …

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Low-Immersion versus High-Immersion Virtual Reality: …

The high-immersion VR, as defined by Kaplan-Rakowski & Gruber (2019), is a computer-generated 360° virtual space that can be regarded as being spatially realistic due to the high immersion ...

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Chapter 4 Evaluating Classifier Performance | Deep …

4.1.9 ROC-AUC. There are some metrics that attempt to summarise the performance of the classifier across all thresholds into a single statistic. Typically with the ROC curve, we would use the Area Under the Curve (AUC), which is basically defined as the integral of the ROC curve: [ mat{AUC} = int mat{TPR} (mat{FPR}) d mat{FPR} ]

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Evaluation of Crop Type Classification with Different High …

Crop type classification with satellite imageries is widely applied in support of crop production management and food security strategy. The abundant supply of these satellite data is accelerating and blooming the application of crop classification as satellite data at 10 m to 30 m spatial resolution have been made accessible easily, widely and …

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Carcinoma Type Classification From High-Resolution Breast …

Carcinoma Type Classification From High-Resolution Breast Microscopy Images Using a Hybrid Ensemble of Deep Convolutional Features and Gradient Boosting Trees Classifiers IEEE/ACM Trans Comput Biol Bioinform. 2022 Jul-Aug;19(4):2124-2136. doi: 10.1109/TCBB.2021.3071022. ...

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Fault diagnosis of oil‐immersed transformers based on the …

1 INTRODUCTION. Oil-immersed transformers occupy a crucial position in the operation of the power system. Real-time monitoring and analysis of the operation status of the transformer is an indispensable step to ensure the stable operation of the power grid [1-3].Finding and dealing with the latent fault of the transformer in time can …

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GTEK Spiral Classifier

Spiral classifier achieves the purpose of classification based on the differing of solid particles in specific gravities. Spiral classifiers mainly include four types. They are high type single spiral classifier, high type double spiral classifier, immersed type single spiral classifier and immerse type double spiral classifier.

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Classifier comparison — scikit-learn 1.5.1 documentation

A comparison of several classifiers in scikit-learn on synthetic datasets. The point of this example is to illustrate the nature of decision boundaries of different classifiers.

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