Impulsive noise reduction for transient Earth voltage‐based partial discharge using Wavelet‐entropy

Luo, Guangzhao; Zhang, Daming; Tseng, King Jet; He, Jinghan

doi:10.1049/iet-smt.2014.0203

Cited by 18 publications

(11 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the energy distribution heavily depends on the amplitude of transient surges in certain frequency band. The energy distribution defined by Equation 13is used to characterize the frequency spectrum of transient surges [41]:…”

Section: Comparison Of Featuresmentioning

confidence: 99%

Entropy SVM–Based Recognition of Transient Surges in HVDC Transmissions

Luo

Yao

Liu

et al. 2018

Entropy

Self Cite

View full text Add to dashboard Cite

Protection based on transient information is the primary protection of high voltage direct current (HVDC) transmission systems. As a major part of protection function, accurate identification of transient surges is quite crucial to ensure the performance and accuracy of protection algorithms. Recognition of transient surges in an HVDC system faces two challenges: signal distortion and small number of samples. Entropy, which is stable in representing frequency distribution features, and support vector machine (SVM), which is good at dealing with samples with limited numbers, are adopted and combined in this paper to solve the transient recognition problems. Three commonly detected transient surges-single-pole-to-ground fault (GF), lightning fault (LF), and lightning disturbance (LD)-are simulated in various scenarios and recognized with the proposed method. The proposed method is proved to be effective in both feature extraction and type classification and shows great potential in protection applications.

show abstract

Section: Comparison Of Featuresmentioning

confidence: 99%

Entropy SVM–Based Recognition of Transient Surges in HVDC Transmissions

Luo

Yao

Liu

et al. 2018

Entropy

Self Cite

View full text Add to dashboard Cite

show abstract

“…In this paper, the energy ratio is adopted for comparisons. Its definition is shown in Equation (7) [30]:…”

Section: Comparison With the Energy-based Methodsmentioning

confidence: 99%

“…This system can be defined as ordered when all coefficients are of similar amplitudes, and disordered if singularities or coefficients with various amplitudes are included. As defined in the author's previous research work [30], all of the wavelet coefficients of the ith detail level form a set Xi. The entropy Hi of set Xi with possible values {xi1, xi2, …, xin} is defined as follows:…”

Section: Definition Of Wavelet Entropymentioning

confidence: 99%

Recognition of Traveling Surges in HVDC with Wavelet Entropy

Luo

Lin

Zhou

et al. 2017

Entropy

Self Cite

View full text Add to dashboard Cite

Abstract:Traveling surges are commonly adopted in protection devices of high-voltage direct current (HVDC) transmission systems. Lightning strikes also can produce large-amplitude traveling surges which lead to the malfunction of relays. To ensure the reliable operation of protection devices, recognition of traveling surges must be considered. Wavelet entropy, which can reveal time-frequency distribution features, is a potential tool for traveling surge recognition. In this paper, the effectiveness of wavelet entropy in characterizing traveling surges is demonstrated by comparing its representations of different kinds of surges and discussing its stability with the effects of propagation distance and fault resistance. A wavelet entropy-based recognition method is proposed and tested by simulated traveling surges. The results show wavelet entropy can discriminate fault traveling surges with a good recognition rate.

show abstract

“…The periodic narrowband noise generally originates from wireless communication systems and may overwhelm the original PD signals. Several techniques have been proposed to suppress the narrowband noise [ 8 , 9 , 10 , 11 , 12 , 13 ]. Methods based on adaptive filters have been proposed to effectively suppress the narrowband noise [ 9 , 10 ], however, when the frequencies of the interferences and the PD signal are mixed, the de-noised PD signal is distorted due to the calculation error of the Fourier transform spectral analysis and the characteristics of the impulse response filter [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

An Ultrahigh Frequency Partial Discharge Signal De-Noising Method Based on a Generalized S-Transform and Module Time-Frequency Matrix

Liu

Zhou

et al. 2016

Sensors

View full text Add to dashboard Cite

Due to electromagnetic interference in power substations, the partial discharge (PD) signals detected by ultrahigh frequency (UHF) antenna sensors often contain various background noises, which may hamper high voltage apparatus fault diagnosis and localization. This paper proposes a novel de-noising method based on the generalized S-transform and module time-frequency matrix to suppress noise in UHF PD signals. The sub-matrix maximum module value method is employed to calculate the frequencies and amplitudes of periodic narrowband noise, and suppress noise through the reverse phase cancellation technique. In addition, a singular value decomposition de-noising method is employed to suppress Gaussian white noise in UHF PD signals. Effective singular values are selected by employing the fuzzy c-means clustering method to recover the PD signals. De-noising results of simulated and field detected UHF PD signals prove the feasibility of the proposed method. Compared with four conventional de-noising methods, the results show that the proposed method can suppress background noise in the UHF PD signal effectively, with higher signal-to-noise ratio and less waveform distortion.

show abstract

Impulsive noise reduction for transient Earth voltage‐based partial discharge using Wavelet‐entropy

Cited by 18 publications

References 22 publications

Entropy SVM–Based Recognition of Transient Surges in HVDC Transmissions

Entropy SVM–Based Recognition of Transient Surges in HVDC Transmissions

Recognition of Traveling Surges in HVDC with Wavelet Entropy

An Ultrahigh Frequency Partial Discharge Signal De-Noising Method Based on a Generalized S-Transform and Module Time-Frequency Matrix

Contact Info

Product

Resources

About