Synchrosqueezing Polynomial Chirplet Transform and Its Application in Tight Sandstone Gas Reservoir Identification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3071318
Abstract: Polynomial chirplet transform (PCT) can effectively characterize the instantaneous frequency (IF) of mono-mode frequency-modulated (FM) signal, but it is unsuitable to analyze multimode signals. Here, we propose synchrosqueezing PCT (SPCT) for amplitude-modulated (AM) and FM… read more here.
Keywords: tight sandstone; polynomial chirplet; chirplet transform; sandstone gas ... See more keywords
Synchro-Compensating Chirplet Transform
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2018.2858018
Abstract: The novel time-frequency transform, called synchro-compensating chirplet transform, is proposed to represent optimally the overlapping signals in a time-frequency domain. By the control of the self-tuning demodulated operator, an instantaneous rotating operator is introduced in… read more here.
Keywords: chirplet transform; compensating chirplet; synchro compensating; transform ... See more keywords
Proportion-Extracting Chirplet Transform for Nonstationary Signal Analysis of Rotating Machinery
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3185771
Abstract: Multicomponent nonstationary signals with close instantaneous frequencies (IFs) are commonly encountered in rotating machinery condition monitoring and fault diagnosis. It is very challenging to accurately reveal the physical natures of such signals. To address the… read more here.
Keywords: time; proportion extracting; chirplet transform; machinery ... See more keywords
Fractional lower order linear chirplet transform and its application to bearing fault analysis
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0276489
Abstract: The amplitude and frequency of the mechanical bearing fault vibration signals vary with time, and which are non-stationary and non-Gaussian process. The fault signals belong to α stable distribution, and the characteristic index 1 <… read more here.
Keywords: linear chirplet; order; fault; chirplet transform ... See more keywords
Local maximum synchrosqueezes form scaling-basis chirplet transform
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DOI: 10.1371/journal.pone.0278223
Abstract: In recent years, time-frequency analysis (TFA) methods have received widespread attention and undergone rapid development. However, traditional TFA methods cannot achieve the desired effect when dealing with nonstationary signals. Therefore, this study proposes a new… read more here.
Keywords: frequency; basis chirplet; local maximum; scaling basis ... See more keywords