Acoustic monitoring of partial discharges in gas insulated substations using optical sensors

Cosgrave, J.A.; Vourdas, A.; Jones, G.R.; Spencer, J. W.; Murphy, Michael M.; Wilson, A.

doi:10.1049/ip-a-3.1993.0057

Cited by 13 publications

(15 citation statements)

References 1 publication

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“…and are discharge parameters in positive and negative half-cycle phase window. Also, is the number of phase window of each half cycle [12]. PD generated by different types of insulation defects have a significant difference in the phase distribution atlas, and the fingerprint database established by the simulation test in laboratory can be taken as a reference in detecting and identifying a defect at the scene.…”

Section: Phase Characteristic Parametersmentioning

confidence: 99%

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Combined Diagnosis of PD Based on the Multidimensional Parameters

Heidari

2016

Modelling and Simulation in Engineering

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This paper presents a comprehensive multiparameter diagnosis method based on multiple partial discharge (PD) signals which include high-frequency current (HFC), ultrasound, and ultrahigh frequency (UHF). The HFC, ultrasound, and UHF PD are calculated under different types of faults. Therefor the characteristic values, as nine basic characteristic parameters, eight phase characteristic parameters, and the like are calculated. Diagnose signals are found with the method based on information fusion and semisupervised learning for HFC PD, adaptive mutation parameters of particle entropy for ultrasonic signals, and IIA-ART2A neural network for UHF signals. In addition, integrate the diagnostic results, which are the probability of fault of various defects and matrix, of different PD diagnosis signals, and analysis with Sugeno fuzzy integral to get the final diagnosis.

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Section: Phase Characteristic Parametersmentioning

confidence: 99%

“…is the th identified object. After sample is identified by each classifier, we can define a matrix referred to as PD( ), which is the cross section in decision-making model [12].…”

Section: Multiple Classifier's Fusion Analysis Based On Sugeno Fuzzy mentioning

confidence: 99%

Combined Diagnosis of PD Based on the Multidimensional Parameters

Heidari

2016

Modelling and Simulation in Engineering

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“…4 such as power transformers and high voltage (HV) cables. At low resonant frequencies, the piezoelectric sensor film is a crystal which is in the form of a disc, for which resonances can be calculated easily [22].…”

Section: Sensors For 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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“…Both arms are 12 m With this sensor very high sensitivity is reached, especially if compared with external piezoelectric acoustic systems. For the measurements of partial discharges at the tests, this sensitivity is enough to detect electric charges of 10 3 pC, which is what we are looking for [8]. Moreover, this sensitivity could be vastly increased by using more length of fibre at the sensor coil and maintaining a compact solution.…”

Section: Characteristics Of the Interferometric Systemmentioning

confidence: 99%

Detection and wavelet analysis of partial discharges using an optical fibre interferometric sensor for high-power transformers

Lamela¹,

Macia-Sanahuja²,

García-Souto³

2002

J. Opt. A: Pure Appl. Opt.

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The main problem in power transformers is the degradation of the isolation, and partial discharges are a major contribution to this shortcoming. Partial discharges inside medium-and high-power transformers generate ultrasonic pressure waves which are usually detected by using acoustic piezoelectric sensors placed outside the transformers. In this paper we describe an optical fibre interferometric sensor we are developing for the detection and location of partial discharges by measuring inside the power transformers. This non-intrusive optical fibre sensor allows a high level of sensitivity to be achieved for the typical small pressure variations created by partial discharges, specially if compared with the results obtained by acoustic piezoelectric external sensors. We present interferometrically detected levels of partial discharge. These results indicate that the developed optical fibre sensor is able to detect a partial discharge in the range of 10 3 pC that produces an optical phase shift of about 2 rad with a resolution of 30 pC in charge means. Finally, the wavelet analysis is used to identify the acoustic patterns instead of the more commonly used Fourier analysis. When transforming the measured signal to the frequency domain, the temporal information disappears. But the acoustic signals really contain numerous transitory pieces of information to be considered. By looking at a Fourier-transformed signal it is impossible to state when a particular event took place. The wavelet analysis helps to solve this problem, and some results are presented here to show this.

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Acoustic monitoring of partial discharges in gas insulated substations using optical sensors

Cited by 13 publications

References 1 publication

Combined Diagnosis of PD Based on the Multidimensional Parameters

Combined Diagnosis of PD Based on the Multidimensional Parameters

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

Detection and wavelet analysis of partial discharges using an optical fibre interferometric sensor for high-power transformers

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