2019
DOI: 10.1016/j.ymssp.2018.08.006
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Local maximum synchrosqueezing transform: An energy-concentrated time-frequency analysis tool

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Cited by 113 publications
(47 citation statements)
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“…For the frequency band of s 1 (t), i.e., ω ∈ [ω 1 − Δ, ω 1 +Δ], according to equation (19), equation (25) can be written as…”
Section: A Novel Bss Methodsmentioning
confidence: 99%
“…For the frequency band of s 1 (t), i.e., ω ∈ [ω 1 − Δ, ω 1 +Δ], according to equation (19), equation (25) can be written as…”
Section: A Novel Bss Methodsmentioning
confidence: 99%
“…This approach requires a deep a priori knowledge of the time evolution of the fault harmonics in the current signal, which requires highly skilled maintenance personnel for implementing it and hinders its application in automated diagnostic systems. Other approach apply to the spectrogram a post-processing based on reassignment [39] or synchrosqueezing [9,40] techniques, so improving its sharpness, but these techniques add a considerable computational burden to the process of building the current spectrogram, departing from the simplicity of the STFT. Another alternative for obtaining an improved spectrogram is the Matching Pursuit approach [41,42].…”
Section: Type Of Fault Fault Harmonics Frequencymentioning
confidence: 99%
“…It is a basic parameter representing the human ear's perception of the strength of the sound signal. It is related to both the amplitude of the sound wave and the frequency [27]. Feature 6 (sharpness).…”
Section: Feature 4 (Frequency Doubling)mentioning
confidence: 99%