Optical Partial Discharge Diagnosis in SF<sub>6</sub> Gas-Insulated System With SiPM-Based Sensor Array

Ren, Ming; Zhou, Jierui; Yang, Shuxing; Zhuang, Tianxin; Dong, Ming

doi:10.1109/jsen.2018.2836423

Cited by 37 publications

(20 citation statements)

References 22 publications

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“…The changes of r ε can be calculated by Formula (18). The relationship among the gas molecular density N in Formula (18) and the pressure and temperature can be expressed as in Formula (19).…”

Section: A B T Pmentioning

confidence: 99%

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Research on Electronic Voltage Transformer for Big Data Background

Wang

et al. 2018

Symmetry

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A new type of electronic voltage transformer is proposed in this study for big data background. By using the conventional inverted SF_6 transformer insulation structure, a coaxial capacitor sensor was constructed by designing a middle coaxial electrode between the high-voltage electrode and the ground electrode. The measurement of the voltage signal could be obtained by detecting the capacitance current i of the SF_6 coaxial capacitor. To improve the accuracy of the integrator, a high-precision digital integrator based on the Romberg algorithm is proposed in this study. This can not only guarantee the accuracy of computation, but also reduce the consumption time; in addition, the sampling point can be reused. By adopting the double shielding effect of the high-voltage shell and the grounding metal shield, the ability and stability of the coaxial capacitor divide could be effectively improved to resist the interference of stray electric fields. The factors that affect the coaxial capacitor were studied, such as position, temperature, and pressure, which will influence the value of the coaxial capacitor. Tests were carried out to verify the performance. The results showed that the voltage transformer based on the SF_6 coaxial capacitor satisfies the requirements of the 0.2 accuracy class. This study can promote the use of new high-performance products for data transmission in the era of big data and specific test analyses.

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Section: A B T Pmentioning

confidence: 99%

“…where, k is the Boltzmann constant with the value of 1.38 × 10 −23 J/K. Substituting the Formula (19) into (18), the relative permittivity of the SF_6 gas can be obtained [19].…”

Section: Analysis Of Temperature Performance and Pressure Performancementioning

confidence: 99%

Research on Electronic Voltage Transformer for Big Data Background

Wang

et al. 2018

Symmetry

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“…Interesting features such as high photodetection efficiency, robustness, high gain and low-cost has created a high interest in Silicon Photomultiplier detectors (SiPM), which are very promising in different fields of fast timing applications such as medical imaging (TOF-PET) and high energy physics [1][2][3][4][5][6]. On the other side, SiPMs have drawbacks related to some performance parameters for the dedicated preamplifier.…”

Section: Introductionmentioning

confidence: 99%

Noise analysis and optimization of VCII-based SiPM interface circuit

Ferri

Safari

Barile

et al. 2020

Analog Integr Circ Sig Process

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Recently, second generation voltage conveyor (VCII)-based transimpedance amplifiers (TIAs) have begun to find their way in different applications, among which, silicon photomultipliers (SiPMs) interfacing circuitry. There are many advantages which make VCII-based TIAs attractive over conventional circuits: the intrinsic low impedance at VCII current input Y port is very helpful to mitigate the effect of high value sensor capacitance and provides fast response time; the achieved bandwidth is high and due to current mode operation; the circuits enjoy the low-voltage low-power features. As signal-to-noise ratio is a crucial parameter in SiPMs interface circuit applications, here we consider the noise specifications and optimization of VCII-based SiPM interface circuits. The noise model of VCII is introduced and equivalent noise of a VCII-based interface circuit is derived. Methods to optimize trade-offs existing between key parameters including power consumption, gain and noise performance are discussed. Simulation results are also provided showing a considerable reduction of two orders of magnitude in most of the noise performances when compared to the previous work while preserving other performance parameters.

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“…A real-time measurement system for partial discharge defect strength based on phase decomposition was developed by using an ultra-high frequency sensor [9]. A partial discharge sensor diagnosis method based on a silicon photomultiplier (SiPM) was proposed [10]; it promotes the partial discharge process of optical detection from laboratory simulations to practical applications. Literature [11] analyzes the spectral characteristics of vibration at different discharge levels, and proposes a partial discharge defect-detection technology based on vibration information.…”

Section: Introductionmentioning

confidence: 99%

Vibration Feature Analysis for Gas-Insulated Switchgear Mechanical Fault Detection under Varying Current

Feng

2020

Applied Sciences

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As a key component to ensure the safe operation of the power grid, mechanical defect diagnosis technology of gas-insulated switchgear (GIS) during operation is often neglected. At present, GIS mechanical fault detection based on vibration information has not been developed. The main reason is that the excitation current is considerable but uncontrollable in the actual operation of GIS. It is difficult to eliminate the influence of excitation on the vibration amplitude and form an effective vibration feature description technology. Therefore, this paper proposes a unified feature-extraction method for GIS vibration information that reduces the influence of current amplitude for mechanical fault diagnosis. Starting from the GIS mechanical analysis, the periodicity of vibration excitation and the influence of amplitude are discussed. Then, combined with the non-linear characteristics of GIS systems and non-linear vibration theory, the multiplier frequency energy ratio (MFER) is designed to extract vibration-unified features of GIS for diagnosing the mechanical fault under different current levels. The diagnosis results of the experimental data with different feature-extraction methods show the applicability and superiority of the proposed method in the GIS’s mechanical fault-detection field based on vibration information.

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Optical Partial Discharge Diagnosis in SF₆ Gas-Insulated System With SiPM-Based Sensor Array

Cited by 37 publications

References 22 publications

Research on Electronic Voltage Transformer for Big Data Background

Research on Electronic Voltage Transformer for Big Data Background

Noise analysis and optimization of VCII-based SiPM interface circuit

Vibration Feature Analysis for Gas-Insulated Switchgear Mechanical Fault Detection under Varying Current

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Optical Partial Discharge Diagnosis in SF6 Gas-Insulated System With SiPM-Based Sensor Array

Cited by 37 publications

References 22 publications

Research on Electronic Voltage Transformer for Big Data Background

Research on Electronic Voltage Transformer for Big Data Background

Noise analysis and optimization of VCII-based SiPM interface circuit

Vibration Feature Analysis for Gas-Insulated Switchgear Mechanical Fault Detection under Varying Current

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Product

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Optical Partial Discharge Diagnosis in SF₆ Gas-Insulated System With SiPM-Based Sensor Array