Partial Discharge Localization in Oil through Acoustic Emission Technique Utilizing Fuzzy Logic

Hashim, Ahmad Hafiz Mohd; Azis, Norhafiz; Jasni, Jasronita; Radzi, Mohd Amran Mohd; Kozako, Masahiro; Jamil, Mohamad Kamarol Mohd; Yaakub, Zaini

doi:10.1109/tdei.2022.3157911

Cited by 6 publications

(5 citation statements)

References 20 publications

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“…The acoustic emission PD signal was measured as per IEEE Std C57.127-2007 [35]. The sensor coordinates were determined based on the 3-dimensional axes designated as x, y and z [36]. A reference point of (0, 0, 0) was used to define the pre-determined for AE sensor coordinates.…”

Section: Partial Discharge Measurementmentioning

confidence: 99%

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Examination on the Denoising Methods for Electrical and Acoustic Emission Partial Discharge Signals in Oil

Mohd Hashim,

Azis,

Jasni

et al. 2023

IJEEI

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Partial discharge (PD) measurements either through electrical or acoustic emission approaches can be subjected to noises that arise from different sources. In this study, the examination on the denoising methods for electrical and acoustic emission PD signal is carried out. The PD was produced through needle-plane electrodes configuration. Once the voltage reached to 30 kV, the electrical and acoustic emission PD signals were recorded and additive white Gaussian noise (AWGN) was introduced. These signals were then denoised using moving average (MA), finite impulse response (FIR) low/high-pass filters, and discrete wavelet transform (DWT) methods. The denoising methods were evaluated through ratio to noise level (RNL), normalized root mean square error (NRMSE) and normalized correlation coefficient (NCC). In addition, the computation times for all denoising methods were also recorded. Based on RNL, NRMSE and NCC indexes, the performances of the denoising methods were analyzed through normalization based on the coefficient of variation (𝐶 𝑣 ). Based on the current study, it is found that DWT performs well to denoise the electrical PD signal based on the RNL and NRMSE 𝐶 𝑣 index while MA has a good denoising NCC and computation time 𝐶 𝑣 index for acoustic emission PD signal.

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Section: Partial Discharge Measurementmentioning

confidence: 99%

“…It is found that 𝑐𝐷 8 , 𝑐𝐷 9 and 𝑐𝐷 10 were able to denoise electrical and acoustic emission PD signals. Therefore, these cD orders with Haar wavelet function were chosen in this study [36]. Overall, DWT has the highest number of the denoising process flow followed by FIR and MA.…”

Section: Discrete Wavelet Transformmentioning

confidence: 99%

Examination on the Denoising Methods for Electrical and Acoustic Emission Partial Discharge Signals in Oil

Mohd Hashim,

Azis,

Jasni

et al. 2023

IJEEI

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“…The amplitude of DSI noise was incrementally raised from 0.05 to 0.50 mV in 0.05 mV intervals, while the amplitude of WGN was decreased in intervals of -2 dB, ranging from 0 to -18 dB. The SNR was then computed by adding the noise to the PD signals using (11) and ( 12) [43]:…”

Section: Comparison Of Average Percentage Errormentioning

confidence: 99%

“…Acoustic measurement [9]- [11] - [16] have been developed to accomplish this goal, including the UHF method [17], optical acoustic technology [18], acoustic analysis [19], high-frequency current transformers (HFCTs) [20]- [22], Rogowski Coils [23], [24], and capacitive sensors [25]. Each of these methods has its own strengths and weaknesses.…”

Section: Introductionmentioning

confidence: 99%

Fault localization on power cables using time delay estimation of partial discharge signals

Fern,

Yii,

Bakar

et al. 2023

IJECE

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Precise localization of partial discharge (PD) sources on power cables is vital to prevent power line failures that can lead to significant economic losses for electrical suppliers. This study proposes four methods to estimate the time delay of PD signals under electromagnetic interference, including white Gaussian noise (WGN) and discrete sinusoidal interference (DSI), using denoised PD signals with signal-to-noise ratios ranging from 10.6 to -7.02 dB. The maximum peak detection (MPD) and cross-correlation (CC) approaches, as well as two new techniques, interpolation cross-correlation (ICC) and envelope cross-correlation (ECC), are evaluated for their effectiveness in PD source localization. The researchers employ the time difference of arrival (TDoA) algorithm to compute PD location using the double-end PD location algorithm, where the PD location precision serves as an indicator of the accuracy of the time delay estimation methods. The study concludes that CC and ICC are the most suitable methods for estimating the time delay of PD signals in the PD location algorithm, as they exhibit the lowest error rates. These results suggest that CC and ICC can be used effectively for precise PD source localization under electromagnetic interference on power cables.

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“…When the electric field is strong enough to induce local breakdown near the defect, partial discharge (PD) will be triggered. At present, the prevailing method for defect detection and fault diagnosis involves analyzing diverse forms of PD signals [8][9][10] . However, micro-defects or the early stages of defect development may exhibit insufficient local field intensity to trigger PD.…”

mentioning

confidence: 99%

Photon Count Technique as a Potential Tool for Insulation Micro-Defect Detection: Principles and Primary Results

Fan,

Luo,

Liang

et al. 2023

iEnergy

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The requirements for the construction of a new power system inevitably pose significant challenges and changes to the operation and maintenance of the power grid. To ensure the safe and stable operation of ultra-high voltage (UHV) transmission equipment, this work reports on the principles and preliminary results of using electroluminescence (EL)-based photon counting (PC) methods for early detection of micro-defects in GIS/GIL insulation spacer. In this study, the impact of voltage, gas pressure, and gas composition on the photon response of insulation is examined. Furthermore, the corresponding relationship between defect status and photon response characteristics is explored, along with the discussion of the EL mechanism and its evolution induced by defects. The research results demonstrate that PC measurement exhibits high sensitivity to variations in millimeter-scale defect size, position, and morphology at lower electric fields before partial discharge (PD) initiation. With this regard, this paper reveals promising prospects for the early detection of micro-defects in UHV transmission equipment using PC measurement-based methods.

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Partial Discharge Localization in Oil through Acoustic Emission Technique Utilizing Fuzzy Logic

Cited by 6 publications

References 20 publications

Examination on the Denoising Methods for Electrical and Acoustic Emission Partial Discharge Signals in Oil

Examination on the Denoising Methods for Electrical and Acoustic Emission Partial Discharge Signals in Oil

Fault localization on power cables using time delay estimation of partial discharge signals

Photon Count Technique as a Potential Tool for Insulation Micro-Defect Detection: Principles and Primary Results

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