Wavelet Analysis of Partial Discharge Acoustic Signals in a Model Transformer

Akumu, A. O.; Masai, Hajime; Adachi, Futoshi; Ozaki, Ryotaro; Ihori, Haruo; Fujii, Masaharu; Arii, Kiyomitsu

doi:10.1143/jjap.42.5347

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…The basic theory of wavelets was proposed by Grossman and Morlet 25) and developed in the late 1980s by Mallat 26,27) and Daubechies. 28,29) Continuous wavelet transform (CWT) has been widely applied to the analysis of various unstable signals such as electroencephalogram signals, 30,31) pulse wave propagation in cancellous bone, 32) acoustic emission signals, 33,34) synthetic voice, 35) and pulse waves of a parametric sub-bottom profiler. 36) In this study, to investigate the effect of velocity…”

Section: Time-frequency Analysis By Continuous Wavelet Transformmentioning

confidence: 99%

Application of wavelet shrinkage to acoustic imaging of buried asari clams using high-frequency ultrasound

Suganuma

Mizuno

Asada

2018

Jpn. J. Appl. Phys.

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Acoustic imaging using high-frequency ultrasound can be an effective survey method to clarify the distribution of asari clams, which live in a relatively shallow layer of sediment. However, the propagation of ultrasound dramatically changes depending on grain size, resulting in visibility deterioration of acoustic images. In this study, the effects of grain size on the visibility of acoustic images were investigated by experiments using glass beads. Then, the effects were discussed using theoretical attenuation models (Biot–Stoll model and multiple scattering model developed by Schwartz and Plona [J. Appl. Phys. 55, 3971 (1984)]) and time–frequency analysis based on the continuous wavelet transform (CWT). In addition, wavelet shrinkage was applied to improve the visibility of acoustic images. The results suggest that multiple scattering and velocity dispersion strongly affected the sharpness and contrast of acoustic images depending on grain size. In addition, it was found that wavelet shrinkage was effective in reducing speckle noise and increasing the visibility of acoustic images of buried asari clams.

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Section: Time-frequency Analysis By Continuous Wavelet Transformmentioning

confidence: 99%

Application of wavelet shrinkage to acoustic imaging of buried asari clams using high-frequency ultrasound

Suganuma

Mizuno

Asada

2018

Jpn. J. Appl. Phys.

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show abstract

“…In order to investigate the detailed attenuation characteristics of the EM wave signals, discrete Wavelet transform [37, 38] was applied to both the simulated and measured signals, at which the Gabor wavelet [37] was used as the mother wavelet. Figs.…”

Section: Simulated Results and Their Validations By Time‐domain Measumentioning

confidence: 99%

Validations of simulation of UHF electromagnetic wave propagation in an oil‐filled tank by time‐domain measurements

Umemoto

Tenbohlen

2019

IET Generation, Transmission & Distribution

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Wavelet Analysis of Partial Discharge Acoustic Signals in a Model Transformer

Cited by 2 publications

References 2 publications

Application of wavelet shrinkage to acoustic imaging of buried asari clams using high-frequency ultrasound

Application of wavelet shrinkage to acoustic imaging of buried asari clams using high-frequency ultrasound

Validations of simulation of UHF electromagnetic wave propagation in an oil‐filled tank by time‐domain measurements

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