The Analysis of Ultrasonic Signals by Partial Discharge and Noise From the Transformer

Kweon, Dong-Jin; Chin, Sang-Bum; Kwak, Hee-Ro; Kim, Jae-Chul; Song, Kyung‐Bin

doi:10.1109/tpwrd.2004.833923

Cited by 54 publications

(17 citation statements)

References 3 publications

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“…Therefore, an ideal way to online judge the performance of transformer is based on computer-aided AE method for PD detection. The following are three highlights of AE methods in PD detection for transformer [4].…”

Section: Communication Modulementioning

confidence: 99%

On-line and long-term monitoring and diagnosis system for insulation on switchgear devices by wireless communication technique

Kuo

Chang

2012

2012 IEEE International Conference on Condition Monitoring and Diagnosis

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An on-line partial discharge detection instrument for SF6-insulated switchgear using wireless communication technology is proposed. Two major parts is divided for the developed instrument. One is the remote wireless monitoring with on-line measurement unit that could be placed permanently onto the SF6-insulated switchgear equipment so as to measure the partial discharge signal from an ultrasonic sensor. The other is the server analysis and calculation unit. It is mainly composed of an industry computer containing a wireless module. The function of this unit is to collect, analyze and store the ultrasound signal captured from each remote monitoring unit, and to perform software-based signal noise and interference reduction. Through feature extraction of the original ultrasound signal, a digitalized assessment and recognition system of the state of insulation could be created.

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Section: Communication Modulementioning

confidence: 99%

On-line and long-term monitoring and diagnosis system for insulation on switchgear devices by wireless communication technique

Kuo

Chang

2012

2012 IEEE International Conference on Condition Monitoring and Diagnosis

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“…In addition, the existence of insulation defects and SF 6 decomposition dramatically reduce the insulation strength of SF 6 -insulated equipment [8]. A lot of methods have been studied to detect the insulation defects, including the ultra-high frequency method (UHF) [9,10], the transient earth voltage method (TEV) [11], the ultrasonic method [12],the gas chromatographic method [13], and the gas sensor detection method [14]. However, UHF, TEV, and the ultrasonic method are easily affected by interference signals, and the gas chromatographic method is an offline detection method.…”

Section: Introductionmentioning

confidence: 99%

Ni-CNT Chemical Sensor for SF6 Decomposition Components Detection: A Combined Experimental and Theoretical Study

Tao

Zhang

et al. 2018

Sensors

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SF6 decomposition components detection is a key technology to evaluate and diagnose the insulation status of SF6-insulated equipment online, especially when insulation defects-induced discharge occurs in equipment. In order to detect the type and concentration of SF6 decomposition components, a Ni-modified carbon nanotube (Ni-CNT) gas sensor has been prepared to analyze its gas sensitivity and selectivity to SF6 decomposition components based on an experimental and density functional theory (DFT) theoretical study. Experimental results show that a Ni-CNT gas sensor presents an outstanding gas sensing property according to the significant change of conductivity during the gas molecule adsorption. The conductivity increases in the following order: H2S > SOF2 > SO2 > SO2F2. The limit of detection of the Ni-CNT gas sensor reaches 1 ppm. In addition, the excellent recovery property of the Ni-CNT gas sensor makes it easy to be widely used. A DFT theoretical study was applied to analyze the influence mechanism of Ni modification on SF6 decomposition components detection. In summary, the Ni-CNT gas sensor prepared in this study can be an effective way to evaluate and diagnose the insulation status of SF6-insulated equipment online.

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“…The PD signal contains abundant information of insulation states, and the ultra-high-frequency (UHF) method, as one of the most important detection methods, is widely used in inspecting insulation defects and fault diagnosis in electric equipment. Compared with other methods, such as ultrasonic detection [3,4], radio frequency (RF) detection [5], and transient earth voltage detection [6], the UHF method has the advantages of high sensitivity and strong anti-interference ability, and it has extensive application prospects [7].…”

Section: Introductionmentioning

confidence: 99%

An Uwb Printed Antenna for Partial Discharge Uhf Detection in High Voltage Switchgears

Yang¹,

Peng²,

Yang³

et al. 2016

PIER C

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Abstract-As important fundamental equipment, high voltage switchgears are widely used in electric power systems and directly relative to the power reliability and quality. Partial discharge (PD) online monitoring is one of the most effective methods used for insulation testing and diagnosis in high voltage switchgears and power systems. This paper proposes a unique ultra-wide-band (UWB) antenna with high performance for PD ultra-high-frequency (UHF) detection in high voltage switchgears. Actual PD experiments were carried out, and the designed antenna was used for PD measurements. The measured results demonstrate that the proposed antenna has wide work frequency band, good omnidirectional radiation patterns and appreciable gain, which indicate that the proposed antenna is suitable for UHF online monitoring of PDs in high voltage switchgears.

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The Analysis of Ultrasonic Signals by Partial Discharge and Noise From the Transformer

Cited by 54 publications

References 3 publications

On-line and long-term monitoring and diagnosis system for insulation on switchgear devices by wireless communication technique

On-line and long-term monitoring and diagnosis system for insulation on switchgear devices by wireless communication technique

Ni-CNT Chemical Sensor for SF6 Decomposition Components Detection: A Combined Experimental and Theoretical Study

An Uwb Printed Antenna for Partial Discharge Uhf Detection in High Voltage Switchgears

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