Vibration Event Recognition Using SST-Based Φ-OTDR System [PDF]
Sensors, 2023 We propose a method based on Synchrosqueezing Transform (SST) for vibration event analysis and identification in Phase Sensitive Optical Time-Domain Reflectometry (Φ-OTDR) systems.
Ruixu Yao +3 more
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Bridge Damage Identification Using Deep Neural Networks on Time–Frequency Signals Representation [PDF]
Sensors, 2023 For the purpose of maintaining and prolonging the service life of civil constructions, structural damage must be closely monitored. Monitoring the incidence, formation, and spread of damage is crucial to ensure a structure’s ongoing performance.
Pasquale Santaniello, Paolo Russo
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Fractional synchrosqueezing transform for enhanced multicomponent signal separation [PDF]
Scientific ReportsThe precise separation of multicomponent signals encounters numerous challenges due to the complexity of signals and widespread interference. Synchrosqueezing Transform (SST) is one of the important technologies for improving the accurate separation of ...
Yangyang Li, Dzati Athiar Ramli
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Instantaneous Frequency-Embedded Synchrosqueezing Transform for Signal Separation
Frontiers in Applied Mathematics and Statistics, 2022 The synchrosqueezing transform (SST) and its variants have been developed recently as an alternative to the empirical mode decomposition scheme to model a non-stationary signal as a superposition of amplitude- and frequency-modulated Fourier-like ...
Qingtang Jiang +3 more
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Leveraging Synchrosqueezing Transform (SST)-based representations in a dual-stream attention framework to enhance sleep apnea detection and subtyping [PDF]
Frontiers in NeuroscienceIntroductionSleep apnea and hypopnea syndrome (SAHS) is a prevalent disorder with profound adverse effects on health and overall quality of life, thereby necessitating the development of accurate and accessible screening tools.
Tianci Zhao +4 more
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A Novel Fault Diagnosis Scheme for Rolling Bearing Based on Convex Optimization in Synchroextracting Chirplet Transform [PDF]
Sensors, 2020 Synchroextracting transform (SET) developed from synchrosqueezing transform (SST) is a novel time-frequency (TF) analysis method. Its concentrated TF spectrum is obtained by applying a synchroextracting operator into TF transformation co-efficients on ...
Guanghui You +3 more
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Robust post-processing time frequency technology and its application to mechanical fault diagnosis [PDF]
Scientific ReportsPost-processing synchrosqueezing transform and synchroextracting transform methods can improve TFR resolution for fault diagnosis. The normal and fault signal can be described by infinite variance process, and 1
Junbo Long, Changshou Deng, Haibin Wang
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Joint High-Order Synchrosqueezing Transform and Multi-Taper Empirical Wavelet Transform for Fault Diagnosis of Wind Turbine Planetary Gearbox under Nonstationary Conditions [PDF]
Sensors, 2018 Wind turbines usually operate under nonstationary conditions, such as wide-range speed fluctuation and time-varying load. Its critical component, the planetary gearbox, is prone to malfunction or failure, which leads to downtime and repair costs ...
Yue Hu +3 more
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IET Signal ProcessingThe burst-like and high-amplitude characteristics of impulsive noise, which markedly differ from those of Gaussian noise, render methods based on the Gaussian assumption unable to accurately characterize signals under impulsive noise.
Weiwei Shang, Yong Guo, Lidong Yang
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Extracting Instantaneous Respiratory Rate From Multiple Photoplethysmogram Respiratory-Induced Variations [PDF]
Frontiers in Physiology, 2018 In this study, we proposed a novel method for extracting the instantaneous respiratory rate (IRR) from the pulse oximeter photoplethysmogram (PPG). The method was performed in three main steps: (1) a time-frequency transform called synchrosqueezing ...
Parastoo Dehkordi +4 more
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