2023
DOI: 10.1007/s42835-023-01662-1
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Advanced Synchronization Check Method Using Hilbert Transform-Based Voltage Envelope Analysis

Je-Ho Yoo,
Soo-Hwan Cho
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Cited by 2 publications
(2 citation statements)
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“…Research conducted [29][30] highlighted that the EMD denoising method surpasses both median filtering and wavelet denoising in effectiveness. Nonetheless, when heavy noise is a factor, selecting the intrinsic mode function (IMF) in EMD can be difficult.…”
Section: Formulation For Accurate Assessment Of Defects and Voidsmentioning
confidence: 99%
“…Research conducted [29][30] highlighted that the EMD denoising method surpasses both median filtering and wavelet denoising in effectiveness. Nonetheless, when heavy noise is a factor, selecting the intrinsic mode function (IMF) in EMD can be difficult.…”
Section: Formulation For Accurate Assessment Of Defects and Voidsmentioning
confidence: 99%
“…The Hilbert transform has been used in signal processing to map an actual signal into an analytical signal with a complex envelope to obtain specific signal features [53,54]. The Hilbert transform converts a given signal into an analytical signal with a complex envelope, which facilitates the evaluation of the signal envelope and the determination of the TOF of the defect echo signal.…”
Section: 𝑍 = 𝐶mentioning
confidence: 99%