Partial discharge location algorithm based on cross-correlation technique for unsynchronized measurement

Ishak, L. M.; Yii, Chai Chang; Isa, Muzamir; Yusoff, Mohd Nazaruddin; Hamadi, S. H. K.; Rohani, Mohamad Nur Khairul Hafizi; Ismail, B.; Shafiq, Muhammad

doi:10.1109/scored.2017.8305359

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…Selection of types and number of order in mother wavelet will determine the accuracy of wavelet transform based on denoising result. The higher the order of wavelet, the smoother the wavelet [15], [16]. There are two categories of mother wavelets, such as orthogonal and biorthogonal.…”

Section: Introductionmentioning

confidence: 99%

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Modelling of Partial Discharge Analysis System Using Wavelet Transform Denoising Technique in Labview Environment

et al. 2019

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Partial discharge (PD) measurement is an essential to detect and diagnose the existence of the PD. However, this measurement has faced noise disturbance in industrial environments. Thus, PD analysis system using discrete wavelet transform (DWT) denoising technique via Laboratory Virtual Instrument Engineering Workbench (LabVIEW) software is proposed to distinguish noise from the measured PD signal. In this work, the performance of denoising process is analyzed based on calculated mean square error (MSE) and signal to noise ratio (SNR). The result is manipulated based on Haar, Daubechies, Coiflets, Symlets and Biorthogonal type of mother wavelet with different decomposition levels. From the SNR results, all types of the mother wavelet are suitable to be used in denoising technique since the value of SNR is in large positive value. Therefore, further studies were conducted and found out that db14, coif3, sym5 and bior5.5 wavelets with least MSE value are considered good to be used in the denoising technique. However, bior5.5 wavelet is proposed as the most optimum mother wavelet due to consistency of producing minimum value of MSE and followed by db14.

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Section: Introductionmentioning

confidence: 99%

“…The examples of orthogonal are Haar, Daubechies, Coiflets and Symlets, meanwhile, for biorthogonal is BiorSplines [17]. Decomposition level is influenced by length of signal where higher level gives better denoising performance [15], [18], [19].…”

Section: Introductionmentioning

confidence: 99%

Modelling of Partial Discharge Analysis System Using Wavelet Transform Denoising Technique in Labview Environment

et al. 2019

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Reliable detection of pulse arrival time for partial discharge location in HV cable based on improved Allen-Bear algorithm

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et al. 2021

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In multi-sensor data based partial discharge (PD) source location in high voltage (HV) cable, poor reliability of detection of pulse arrival time against noises, waveform distortion, amplitude attenuation is the major barriers to practical application. In this paper, an improved Allen-Bear PD pulse detection algorithm, which combines the advantage of the characteristic functions of the two time-window energy ratio based detection algorithms, is proposed for robust PD location. The most critical contribution of proposed method is the extension of frequency domain component compared to the characteristic functions of the original algorithm. Simulation and physical experiment results demonstrate that the proposed method not only ensures the detection accuracy of the PD pulse arrival time, but also improves the reliability under harsh practical scenarios. It performs significantly better than the existing detection algorithm in terms of anti-noise, anti-waveform distortion, time window length variation, etc. It has significant value for practical applications.

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Partial discharge location algorithm based on cross-correlation technique for unsynchronized measurement

Cited by 2 publications

References 17 publications

Modelling of Partial Discharge Analysis System Using Wavelet Transform Denoising Technique in Labview Environment

Modelling of Partial Discharge Analysis System Using Wavelet Transform Denoising Technique in Labview Environment

Reliable detection of pulse arrival time for partial discharge location in HV cable based on improved Allen-Bear algorithm

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