2022
DOI: 10.1007/s40430-022-03818-y
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A methodology based on empirical mode decomposition and synchrosqueezed wavelet transform for modal properties identification and damage detection

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Cited by 2 publications
(2 citation statements)
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“…Similarly, making m = m + 1 and repeating the above calculation yields φ m+1 . Finally, the approximate entropy is defined as the difference between φ m and φ m+1 , as shown in Equation (10):…”
Section: Coefficient Of Variation and Approximate Entropy Of Ipeimentioning
confidence: 99%
See 1 more Smart Citation
“…Similarly, making m = m + 1 and repeating the above calculation yields φ m+1 . Finally, the approximate entropy is defined as the difference between φ m and φ m+1 , as shown in Equation (10):…”
Section: Coefficient Of Variation and Approximate Entropy Of Ipeimentioning
confidence: 99%
“…A welding electrical signal is a nonsmooth signal. Time-frequency analysis is one of the best and most accessible analytic techniques for nonsmooth signal processing [10]. Kaur [11] used a two-slit probe measuring device to measure the beam current, which was then processed by Discrete Wavelet Transformation (DWT).…”
Section: Introductionmentioning
confidence: 99%