A novel wavelet transform technique for on-line partial discharge measurements. 1. WT de-noising algorithm

Zhang, Hao; Blackburn, T.R.; Phung, B.T.; Sen, D.

doi:10.1109/tdei.2007.302864

Cited by 197 publications

(121 citation statements)

References 14 publications

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“…An epoxy insulator with a height of 30 mm, and a length as The wavelet transform (WT) is an effective signal processing method and has achieved its application in the field of condition monitoring and diagnosis. It has been used for de-noising of the ultra-high frequency signal and eliminating the corona from PD signal [10][11][12][13][14][15][16]. In addition, parameters derived from wavelet decomposition are implemented in the feature extraction for defect classification [17,18].…”

Section: Insulation Defects In Spacermentioning

confidence: 99%

Disturbance Elimination for Partial Discharge Detection in the Spacer of Gas-Insulated Switchgears

Wang

Kil

et al. 2017

Energies

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With the increasing demand for precise condition monitoring and diagnosis of gas-insulated switchgears (GISs), it has become a challenge to improve the detection sensitivity of partial discharge (PD) induced in the GIS spacer. This paper deals with the elimination of the capacitive component from the phase-resolved partial discharge (PRPD) signal generated in GIS spacers based on discrete wavelet transform (WT). Three types of typical insulation defects were simulated using PD cells. The single PD pulses were detected and were further used to determine the optimal mother wavelet. As a result, the bior6.8 was selected to decompose the PD signal into 8 levels and the signal energy at each level was calculated. The decomposed components related with capacitive disturbance were discarded, whereas those associated with PD were de-noised by a threshold and a thresholding function. Finally, the PRPD signals were reconstructed using the de-noised components.

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Section: Insulation Defects In Spacermentioning

confidence: 99%

Disturbance Elimination for Partial Discharge Detection in the Spacer of Gas-Insulated Switchgears

Wang

Kil

et al. 2017

Energies

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“…To conduct the test, a 20 kV single core copper conductor XLPE insulated power cable was connected to the power line and providing connection to tree in order to simulate a HIF [20] ( Fig. 1).…”

Section: Measurement Of Thif Signalmentioning

confidence: 99%

Feature Extraction of Tree-Related High Impedance Faults as a Source of Electromagnetic Interference Around Medium Voltage Power Lines' Corridors

Bahador¹,

Namdari²,

Matinfar³

2017

PIER B

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Abstract-One of the faults in medium voltage (MV) overhead power line is a high impedance fault (HIF) owing to low-current discharge to a tree (THIF). This type of fault generates signals in wide frequency bandwidth which may lead to electromagnetic interference (EMI) with neighboring devices and consequently results in degradation in the performance of nearby systems. This problem becomes more critical when MV power lines path is located in a wooded area in which there will be frequent transient conflicts between trees and power lines especially in the windy conditions. Given the importance of this issue, the ability of THIF to generate EMI is first demonstrated in this paper. Thereafter, a hybrid technique based on combination of quantile regression (QR) and empirical mode decomposition (EMD) is proposed to perform a feature extraction from THIF signals. By comparing the QR results of different samples of THIF signal with other similar signals, the validation of proposed method is depicted. In summary, the original contributions of current research include 1) assessing EMI due to THIFs, 2) using EMD in pre-processing of THIFs signals and extracting their main components, 3) recommending QR for the feature definition of THIF.

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“…In this paper, different denoising techniques are applied to the captured signal. [1][2][3] Partial discharge detection involves the capture and storage of partial discharge data, processing of partial discharge signals, diagnosis and assessment of insulation. Partial discharge monitoring is approved the most effective technique for the insulation assessment.…”

Section: Introductionmentioning

confidence: 99%

“…Rejection or filtering the noise from partial discharge signals is a precondition to analyze the characteristics of partial discharge signals. [2] Partial discharge signals are always non-periodic and fast transient. It is unbalanced.…”

Section: Introductionmentioning

confidence: 99%

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High Field Electrical Conduction and Breakdown in Solid Dielectrics: A Signal Denoising Techniques by Wavelet Transform

Pote¹,

Gohokar²,

Wakde³

2017

International Advanced Research Journal in Science, Engineering

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Abstract:One of the most important challenges of on-site partial discharge measurement is to capture the original signal in a noisy environment. The different sources of noise which includes thermal or resister noise added by the measuring circuit, signals due to electromagnetic interferences. Sophisticated and proper methods are required to detect and measured the partial discharge signals. Fortunately, due to the advancement in the analog to digital conversion techniques, signals can be easily captured with the help of interfacing devices. The signal can be extracted and converted into Excel sheets. This paper deals with de-noising of partial discharge signals during the breakdown phenomena in solid dielectrics. Several techniques are investigated and applied to the captured partial discharge signals. For the enhancement the insulation quality of the dielectric media, diagnosis plays a very important role in a power system. For diagnostic test such as detection, location and identification are used to find defects or faults and assess the ageing degree of the dielectric material. Wavelet Transform technique used to suppress a noise from partial discharge signal requires reasonable mother wavelet, amount of scales and thresholds to produce its best result. Results indicate that this technique not only attain better dancing effect, but also improve the sensitivity of partial discharge detection.

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A novel wavelet transform technique for on-line partial discharge measurements. 1. WT de-noising algorithm

Cited by 197 publications

References 14 publications

Disturbance Elimination for Partial Discharge Detection in the Spacer of Gas-Insulated Switchgears

Disturbance Elimination for Partial Discharge Detection in the Spacer of Gas-Insulated Switchgears

Feature Extraction of Tree-Related High Impedance Faults as a Source of Electromagnetic Interference Around Medium Voltage Power Lines' Corridors

High Field Electrical Conduction and Breakdown in Solid Dielectrics: A Signal Denoising Techniques by Wavelet Transform

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