Dynamics of bubbles in electric field

Korobeynikov, S. M.; Ovsyannikov, A. G.; Ridel, A. V.; Медведев, Д. А.

doi:10.1088/1742-6596/899/8/082003

Cited by 11 publications

(4 citation statements)

References 2 publications

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“…In [ 6 ], a detailed analysis of the dynamics of bubbles inside dielectric oil is carried out. The study of the behavior of air bubbles that rise in the transformer oil under the influence of an alternating electric field is investigated, including the measurement of the degree of deformation of these bubbles.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Partial Discharges in Dielectric Oils Using High-Resolution CMOS Image Sensor and Convolutional Neural Networks

Monzón-Verona,

González-Domínguez,

García-Alonso

2024

Sensors

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In this work, an exhaustive analysis of the partial discharges that originate in the bubbles present in dielectric mineral oils is carried out. To achieve this, a low-cost, high-resolution CMOS image sensor is used. Partial discharge measurements using that image sensor are validated by a standard electrical detection system that uses a discharge capacitor. In order to accurately identify the images corresponding to partial discharges, a convolutional neural network is trained using a large set of images captured by the image sensor. An image classification model is also developed using deep learning with a convolutional network based on a TensorFlow and Keras model. The classification results of the experiments show that the accuracy achieved by our model is around 95% on the validation set and 82% on the test set. As a result of this work, a non-destructive diagnosis method has been developed that is based on the use of an image sensor and the design of a convolutional neural network. This approach allows us to obtain information about the state of mineral oils before breakdown occurs, providing a valuable tool for the evaluation and maintenance of these dielectric oils.

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Section: Introductionmentioning

confidence: 99%

Characterization of Partial Discharges in Dielectric Oils Using High-Resolution CMOS Image Sensor and Convolutional Neural Networks

Monzón-Verona,

González-Domínguez,

García-Alonso

2024

Sensors

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“…In 2011, M G. Niasar et al studied the discharge of bubble flow and flowing metal particles, and analyzed the influence of temperature on the initial discharge threshold of bubble flow and flowing metal particles [6]. From 2017 to 2019, S M. Korobeynikov et al also carried out discharge study of bubble flow in uniform field [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Research on two-phase flow insulation experimental equipment and method

Luo

Xiong

Zhong

et al. 2023

J. Phys.: Conf. Ser.

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To characterize and identify the discharge characteristics of two-phase flow, the research scheme and experimental device of two-phase flow discharge characteristics based on IEC 60270 partial discharge experimental method are designed in this paper. The PRPD (Pass Resolved Partial Discharge) method is extended to the PRPDN (Pass Resolved Partial Discharge Number) method, and an experimental method suitable for the analysis of two-phase flow discharge characteristics and the analysis method of two-phase flow characteristics are proposed, which lays a foundation for the experiment and analysis of two-phase flow discharge characteristics.

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“…It was demonstrated that pressure and hot spot temperature play an important role in bubble generation. The behaviour of gas bubbles in transformer oil under the alternating electric field has been studied in [13]. The investigations showed that bubbles can initiate partial discharge, and their development may alter an electric field in a stationary oil state [14].…”

Section: Introductionmentioning

confidence: 99%

Bubble migration characteristics in power transformer oil under coupled stresses of forced vibration and electrical field

Ladislas

Liu

et al. 2022

IET Science Measure & Tech

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The stresses existing in power transformers lead to the generation of bubbles. They are the primary source that worsens and leads to insulation failure. Due to the complexity of bubble dynamics, it is challenging to figure out bubble mechanisms. However, creation, migration, and accumulation mechanisms require further explanation. A set of experiments has been conducted to provide a scientific overview of bubbles. The results revealed that buoyancy is dominant in low electric fields, while high electric fields affect bubbles' rise. Bubbles stretch and oscillate while moving. When the electric field is not strong, the AC field reduces the duration and volume of bubble detachment. Vibration stress on the other side is leading the bubble motion including detachment frequency and migration speed. Under the combination of AC and vibration stresses, the bubble distortion degree aggravates and bubble gathering formation is easy. This research can provide a deeper acumen of the bubble's actions beneath a power transformer under a combination of vibration and electric fields. It provides essential technique parameters to deal with while investigating bubble's problems and related engineering research areas.

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Dynamics of bubbles in electric field

Cited by 11 publications

References 2 publications

Characterization of Partial Discharges in Dielectric Oils Using High-Resolution CMOS Image Sensor and Convolutional Neural Networks

Characterization of Partial Discharges in Dielectric Oils Using High-Resolution CMOS Image Sensor and Convolutional Neural Networks

Research on two-phase flow insulation experimental equipment and method

Bubble migration characteristics in power transformer oil under coupled stresses of forced vibration and electrical field

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