2017
DOI: 10.3390/e19050184
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Recognition of Traveling Surges in HVDC with Wavelet Entropy

Abstract: 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 … Show more

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Cited by 7 publications
(4 citation statements)
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“…According to wavelet transform, the entire frequency band is divided into m levels to obtain frequency bands of different levels. The wavelet coefficients in the ith (1 ≤ i ≤ m) frequency band form a set X i [39,40]. Taking the maximum and minimum values of X i as upper and lower limits, respectively, this range is equally divided into n intervals.…”
Section: Definition Of Wavelet Entropymentioning
confidence: 99%
See 1 more Smart Citation
“…According to wavelet transform, the entire frequency band is divided into m levels to obtain frequency bands of different levels. The wavelet coefficients in the ith (1 ≤ i ≤ m) frequency band form a set X i [39,40]. Taking the maximum and minimum values of X i as upper and lower limits, respectively, this range is equally divided into n intervals.…”
Section: Definition Of Wavelet Entropymentioning
confidence: 99%
“…The fourth Daubechies wavelet "db4" is used in the wavelet decomposition in this paper [41]. The number of wavelet decomposition levels should be less than nine levels [40]. Combined with the spectrum displayed in Figure 11, the number of decomposition levels is selected as eight.…”
Section: Wavelet Entropy Of Different Transientsmentioning
confidence: 99%
“…Entropy, a convenient tool for measuring the overall disorder of the system, has been effectively used in the field of signal processing [13,35]. If the frequency spectrum of any signal is considered as a system, its distribution can be characterized by entropy.…”
Section: Definantion Of Fsementioning
confidence: 99%
“…Compared with traditional magnitude-based feature extractions that will be affected by unequally distortions, the entropy can characterize the distribution of energy in a certain range. It is a powerful tool to extract transient signal characteristics and is immune to variations of magnitude attenuations and distortions [13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%