Removal of Interferences from Partial Discharge Pulses using Wavelet Transform

H.A, Vidya H.A Vidya; Tyagi, B. P.; Krishnan, V.; Mallikarjunappa, K.

doi:10.12928/telkomnika.v9i1.675

Cited by 10 publications

(9 citation statements)

References 15 publications

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“…In order to judge the performance of the MODWT, both input and output signal-tonoise ratios (SNR) were calculated for each contaminated signal using ( 6) and (7). The improvement in SNR values ∆SNR were also calculated using (8).…”

Section: Resultsmentioning

confidence: 99%

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Denoising of Heavily Contaminated Partial Discharge Signals in High-Voltage Cables Using Maximal Overlap Discrete Wavelet Transform

2021

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Online detection of partial discharges (PD) is imperative for condition monitoring of high voltage equipment as well as power cables. However, heavily contaminated sites often burden the signals with various types of noise that can be challenging to remove (denoise). This paper proposes an algorithm based on the maximal overlap discrete wavelet transform (MODWT) to denoise PD signals originating from defects in power cables contaminated with various levels of noises. The three most common noise types, namely, Gaussian white noise (GWN), discrete spectral interference (DSI), and stochastic pulse shaped interference (SPI) are considered. The algorithm is applied to an experimentally acquired void-produced partial discharge in a power cable. The MODWT-based algorithm achieved a good improvement in the signal-to-noise ratio (SNR) and in the normalized correlation coefficient (NCC) for the three types of noises. The MODWT-based algorithm performance was also compared to that of the empirical Bayesian wavelet transform (EBWT) algorithm, in which the former showed superior results in denoising SPI and DSI, as well as comparable results in denoising GWN. Finally, the algorithm performance was tested on a PD signal contaminated with the three type of noises simultaneously in which the results were also superior.

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Section: Resultsmentioning

confidence: 99%

“…These noises can be narrow-band noises as well as wide-band noises. The most common noises found in sub-stations/power-stations are Gaussian white noise (GWN), discrete spectral interference (DSI), and stochastic pulse interference (SPI) [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Denoising of Heavily Contaminated Partial Discharge Signals in High-Voltage Cables Using Maximal Overlap Discrete Wavelet Transform

2021

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“…The wavelet transform (WT) approach, as an efficient denoising method, was used to reduce the noise generated by the instrument and the sampling process [ 25 ]. Daubechies 4 with decomposition scale 3 was optimized when the maximal SNR was obtained; detailed information can be found in the literature [ 26 ]. In addition, area normalization was used to decrease the matrix effect and spectral error caused by the change of experimental parameters.…”

Section: Methodsmentioning

confidence: 99%

Quantitative Analysis of Nutrient Elements in Soil Using Single and Double-Pulse Laser-Induced Breakdown Spectroscopy

Liu

et al. 2018

Sensors

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Rapid detection of soil nutrient elements is beneficial to the evaluation of crop yield, and it’s of great significance in agricultural production. The aim of this work was to compare the detection ability of single-pulse (SP) and collinear double-pulse (DP) laser-induced breakdown spectroscopy (LIBS) for soil nutrient elements and obtain an accurate and reliable method for rapid detection of soil nutrient elements. 63 soil samples were collected for SP and collinear DP signal acquisition, respectively. Macro-nutrients (K, Ca, Mg) and micro-nutrients (Fe, Mn, Na) were analyzed. Three main aspects of all elements were investigated, including spectral intensity, signal stability, and detection sensitivity. Signal-to-noise ratio (SNR) and relative standard deviation (RSD) of elemental spectra were applied to evaluate the stability of SP and collinear DP signals. In terms of detection sensitivity, the performance of chemometrics models (univariate and multivariate analysis models) and the limit of detection (LOD) of elements were analyzed, and the results indicated that the DP-LIBS technique coupled with PLSR could be an accurate and reliable method in the quantitative determination of soil nutrient elements.

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“…These wavelet families mentioned are orthogonal wavelets. Biorthogonal wavelets such as the BiorSplines Wavelet (bior) are also suitable for interferer reduction of PD measurement data [10].…”

Section: B State Of the Art -Interference Suppression By Digital Sign...mentioning

confidence: 99%

Evaluation Study on Wavelet Denoising of Antenna-based PD Measurements in Strong Interference Environments considering a New Reliability Score of Pulse Detection

Friebe,

Jenau

2024

IEEE Trans. Dielect. Electr. Insul.

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Partial discharge (PD) interference suppression represents an important aspect in diagnosis and maintenance of equipment in the power transmission network and thus contributes to ensuring transmission reliability. PD diagnosis includes the detection of PD using suitable measurement methods like non-contact electromagnetic methods such as antennas. An important step of measuring PD with antennas is the interference suppression of the measurement signals for further processing. Especially in the case of contactless detection of PD using antenna structures, other signals are coupled in additional to the actual PD signal. This requires interference suppression processes for pulse extraction of the PD pulses from the disturbed signal as well as evaluation criteria that measure the interference suppression and the reliability of the PD pulse detection of these processes. In the context of this work, a suitability study is carried out to select the mother wavelets and estimation methods within the framework of wavelet denoising. This is done by a preliminary study with synthetic signals in which a real noise environment is added, which is several times stronger than the synthetic PD signal. The best combinations are then applied to real PD signals measured in a strong interference environment. In addition to the conventional evaluation criteria for noise reduction and signal distortion, a new evaluation criterion, the reliability score of impulse detection, is introduced. The methodical approach also reliably determines whether generated PD are isolated, as a transmission line-bound reflection-free decoupling of the PD signal takes place simultaneously.

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Removal of Interferences from Partial Discharge Pulses using Wavelet Transform

Abstract: It is essential to detect partial discharge (PD) as a symptom of insulation breakdown in high voltage

Cited by 10 publications

References 15 publications

Denoising of Heavily Contaminated Partial Discharge Signals in High-Voltage Cables Using Maximal Overlap Discrete Wavelet Transform

Denoising of Heavily Contaminated Partial Discharge Signals in High-Voltage Cables Using Maximal Overlap Discrete Wavelet Transform

Quantitative Analysis of Nutrient Elements in Soil Using Single and Double-Pulse Laser-Induced Breakdown Spectroscopy

Evaluation Study on Wavelet Denoising of Antenna-based PD Measurements in Strong Interference Environments considering a New Reliability Score of Pulse Detection

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