Design, implementation and testing of triangle, circle, and square shaped loop antennas as partial discharge sensor

Rozi, Fakhru; Khayam, Umar

doi:10.1109/icpere.2014.7067219

Cited by 20 publications

(5 citation statements)

References 7 publications

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“…Compared with some reported interdigital microstrip structures, spiral-based structures have a more continuous electric-field distribution. The square spiral-based microstrip structure covers a larger total surface area of the sensor than circle structures, and thus, the magnetic flux flowing through the antenna could increase in the same area. , Therefore, square spiral-based structures as microstrip sensors are expected to have a better performance. The sensing performance of square spiral-shaped sensors was compared with those of two other types of more classical interdigital sensors (arranged in interdigital and circle spiral structures) to detect water and acid contaminations in oil.…”

mentioning

confidence: 99%

Contactless and Simultaneous Measurement of Water and Acid Contaminations in Oil Using a Flexible Microstrip Sensor

Xue

Tang

et al. 2019

ACS Sens.

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The assessment of the petroleum product quality often involves multiple indicators, among which water content and acid value are two major parameters. The complexity of an oil sample and the narrow space in pipeline transport make it difficult to monitor the oil quality in real-time. Considering the practical requirements, a new type of flexible microstrip sensor is proposed in this work. The shape and line width of the microstrip sensor are studied and optimized by theory and experiments. The proposed square spiral-based microstrip sensor has good water content detection resolution at high frequencies with less acid interference, and it can determine the acid value in the low-frequency band. The sensor surface is further passivated, protecting it from direct contact with the oil sample to enhance the electrochemical robustness, and still achieves good detection linearity and high sensitivity. After encapsulation on a flexible substrate, the proposed microstrip sensor realized the non-contact determination of the water content and acid value of oil at the same time, which is only a few millimeters in size and can conform to various tubing wall shapes. Due to the fact that the manufacture of the sensor is CMOS-compatible, we expect it to be readily applied to many other miniaturized chemical-sensing applications.

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mentioning

confidence: 99%

Contactless and Simultaneous Measurement of Water and Acid Contaminations in Oil Using a Flexible Microstrip Sensor

Xue

Tang

et al. 2019

ACS Sens.

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“…Hence, PD detection in the early phase is very important [4]. Different methods have been developed to detect PDs, including the use of loop antennas, acoustic emissions, or different types of internal and external sensors [5][6][7][8]. Among these methods, ultra-high-frequency (UHF) sensors can capture a wide range of frequencies and effectively reduce noise [9].…”

Section: Introductionmentioning

confidence: 99%

Supervised Contrastive Learning for Fault Diagnosis Based on Phase-Resolved Partial Discharge in Gas-Insulated Switchgear

Dang,

Ho,

Vo-Nguyen

et al. 2023

Energies

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Supervised contrastive learning (SCL) has recently emerged as an alternative to conventional machine learning and deep neural networks. In this study, we propose an SCL model with data augmentation techniques using phase-resolved partial discharge (PRPD) in gas-insulated switchgear (GIS). To increase the fault data for training, we employ Gaussian noise adding, Gaussian noise scaling, random cropping, and phase shifting for supervised contrastive loss. The performance of the proposed SCL was verified by four types of faults in the GIS and on-site noise using an on-line ultra-high-frequency (UHF) partial discharge (PD) monitoring system. The experimental results show that the proposed SCL achieves a classification accuracy of 97.28% and outperforms the other algorithms, including support vector machines (SVM), multilayer perceptron (MLP), and convolution neural networks (CNNs) in terms of classification accuracy, by 6.8%, 4.28%, 2.04%, respectively.

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“…Various antennas have been developed for PD induced EM wave measurement so far [1][2][3][4][5][6][7][8][9]. The loop antenna is chosen for PD detection in this research because it has good characteristics, small, simple, and cheap [6][7][8][9]. The measurement of PD induced EM wave by using loop antenna is reported in this paper.…”

Section: Introductionmentioning

confidence: 99%

Measurement of Partial Discharge Induced Electromagnetic Wave using Loop Antenna

Khayam

Fatoni

2017

EECSI

Self Cite

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Partial discharge (PD) detection by detecting the released energy in the form of electromagnetic (EM) wave during discharge using Ultra-High Frequency (UHF) antenna is one of the methods to determine insulation system quality of power apparatus. The main advantage of UHF PD detection system by using antenna are the capability to detect PD signal without firstly shut down the power apparatus. Therefore, the PD measurement system based on EM wave induced by PD detected by the sensor is needed. First, the sensors which be able to detect PD induced EM wave in ultra wide band need to be designed and manufactured. Second, the characteristics of PD induced EM wave measured by the sensors need to be investigated. This paper deals with measurement of PD induced EM wave by using loop antenna. The results show that the further the distance of loop antenna to PD source is, the lower Vpp is. This is due to EM wave attenuation. At the distance 225 cm from PD source, Vpp of PD is equal to Vpp of the background noise (BGN). Therefore, the maximum distance of the loop sensor to PD source is 225 cm.

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Design, implementation and testing of triangle, circle, and square shaped loop antennas as partial discharge sensor

Cited by 20 publications

References 7 publications

Contactless and Simultaneous Measurement of Water and Acid Contaminations in Oil Using a Flexible Microstrip Sensor

Contactless and Simultaneous Measurement of Water and Acid Contaminations in Oil Using a Flexible Microstrip Sensor

Supervised Contrastive Learning for Fault Diagnosis Based on Phase-Resolved Partial Discharge in Gas-Insulated Switchgear

Measurement of Partial Discharge Induced Electromagnetic Wave using Loop Antenna

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