Measurements and analysis of the acoustic signals produced by partial discharges in insulation oil

Kil, Gyung-Suk; Kim, Il Kwon; Park, Dae‐Won; Choi, Su-Yeon; Park, Chanyong

doi:10.1016/j.cap.2008.01.018

Cited by 31 publications

(17 citation statements)

References 3 publications

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“…To simulate local discharges by electrical field concentrations in power equipment, three types of electrodes systems were fabricated: a needle-plane with pressboard, plane-plane with pressboard, and needle-plane with air gap, as shown in Fig. 5 [15,16].…”

Section: Experiments and Methodsmentioning

confidence: 99%

Frequency Spectrum Analysis of Electromagnetic Waves Radiated by Electric Discharges

Park¹,

Kil²,

Cheon³

et al. 2012

Journal of Electrical Engineering and Technology

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-In this paper, we analyzed the frequency spectrum of the electromagnetic waves radiated by an electric discharge as a basic study to develop an on-line diagnostic technique for power equipment installed inside closed-switchboards. In order to simulate local and series arc discharges caused by an electric field concentration and poor connections, three types of electrode systems were fabricated, consisting of needle and plane electrodes and an arc generator meeting the specifications of UL 1699. The experiment was carried out in an electromagnetic anechoic chamber, and the measurement system consisted of a PD free transformer, a loop antenna with a frequency bandwidth of 150 kHz-30 MHz, an ultra log periodic antenna with a frequency bandwidth of 30 MHz-2 GHz, and an EMI test receiver with a frequency bandwidth of 3 Hz-3 GHz. According to the experimental results, the frequency spectra of the electrical discharges were widely distributed across a range of 150 kHz-400 MHz, depending on the defects, while commonly found between 150 kHz and 10 MHz. Therefore, considering the ambient noise and antenna characteristics, the best frequency bandwidth for a measurement system to monitor abnormal conditions by detecting electromagnetic waves in closedswitchboards is 150 kHz-10 MHz.

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Section: Experiments and Methodsmentioning

confidence: 99%

Frequency Spectrum Analysis of Electromagnetic Waves Radiated by Electric Discharges

Park¹,

Kil²,

Cheon³

et al. 2012

Journal of Electrical Engineering and Technology

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“…These UHF signals will not be interfered by any extraneous broadcast wave or telecommunication signal if their frequencies are sufficiently high. For the GIS, the risk assessment of breakdown is easy to determine due to information on PD phenomena in SF6 gas [31]. The accuracy of PD localization can be improved, and the maintenance efficiency in the GIS can be enhanced if the UHF PD measurement method is combined with the acoustic measurement technique.…”

Section: Uhf Pd Detection In Gismentioning

confidence: 99%

“…Mechanical energy explosion due to the vaporization of the material in the oil creates a pressure field forming the acoustic wave. The capacitive nature of PD is unimportant because the sensitivity of the acoustic method does not vary with the test object capacitance [31]. The PD acoustic signal detection method has the lower sensitivity when compared to the PD electrical signal detection method.…”

Section: Acoustic Detectionmentioning

confidence: 99%

Review on partial discharge detection techniques related to high voltage power equipment using different sensors

et al. 2014

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When operating an equipment or a power system at the high voltage, problems associated with partial discharge (PD) can be tracked down to electromagnetic emission, acoustic emission or chemical reactions such as the formation of ozone and nitrous oxide gases. The high voltage equipment and high voltage installation owners have come to terms with the need for conditions monitoring the process of PD in the equipments such as power transformers, gas insulated substations (GIS), and cable installations. This paper reviews the available PD detection methods (involving high voltage equipment) such as electrical detection, chemical detection, acoustic detection, and optical detection. Advantages and disadvantages of each method have been explored and compared. The review suggests that optical detection techniques provide many advantages in the consideration of accuracy and suitability for the applications when compared to other techniques.

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“…As the AE sensor uses a single cable for transmitting both power and signal, we separated the acoustic signal from the DC voltage using a circuit with high-pass filter characteristics [13].…”

Section: Experimental Set-upmentioning

confidence: 99%

“…Additionally, the AE sensor can be installed easily during operation. Locating the defect is possible by measuring the time difference of arrival (TOA) of the acoustic signal using multiple sensors [13]. This paper deals with the application of the acoustic detection method for the insulation diagnostics of oilimmersed power transformers.…”

Section: Introductionmentioning

confidence: 99%

Characteristic Analysis and Origin Positioning of Acoustic Signals Produced by Partial Discharges in Insulation Oil

Park¹,

Jo²,

Kim³

et al. 2013

Journal of Electrical Engineering and Technology

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-This paper dealt with the propagation characteristics of acoustic signals produced by partial discharges and the positioning of PD origin in insulation oil to develop insulation diagnostic techniques of oil-immerged transformers. Electrode systems such as needle to plane, plane to plane, and particle electrodes were fabricated to simulate some defects of power transformers. In addition, the frequency spectrum and propagation characteristics of acoustic signals with partial discharge (PD) in insulation oil were analyzed. Although there were differences based on the type of defect, the frequency spectra of the acoustic signals measured by wide and narrow band acoustic emission (AE) sensors were distributed in the range of 50 kHz-400 kHz. Therefore, a narrowband AE sensor is suitable for the diagnosis of oil-immersed power transformers. We could find the position of the PD source with an error margin of 10% in the experiments by calculating the position of the PD occurrence using the time difference of arrival measured by five AE sensors.

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Measurements and analysis of the acoustic signals produced by partial discharges in insulation oil

Cited by 31 publications

References 3 publications

Frequency Spectrum Analysis of Electromagnetic Waves Radiated by Electric Discharges

Frequency Spectrum Analysis of Electromagnetic Waves Radiated by Electric Discharges

Review on partial discharge detection techniques related to high voltage power equipment using different sensors

Characteristic Analysis and Origin Positioning of Acoustic Signals Produced by Partial Discharges in Insulation Oil

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