Results 61 to 70 of about 1,586 (236)
Statistics of the Synchrosqueezing Transform
, 2023 We investigate the synchrosqueezing transform applied to complex gaussian white noise, as well as signals consisting of a single harmonic component contaminated with complex gaussian white noise.
Sourisseau, Matthew John
core
IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.ABSTRACT In recent years, smart distribution networks have developed rapidly. However, complex electrical equipment and multisource monitoring data present great challenges for efficient fault detection in distribution networks. Accordingly, this study designs a multistage fault diagnosis framework based on a modified convolutional neural network (MCNN)
Fei Xiao +5 more
wiley +1 more source
IEEE Access, 2023 Turbocharger is one of the vital parts of a diesel engine causing a high failure rate. Its surface vibration signal contains important time-varying features.
Fei Dong +4 more
doaj +1 more source
A Power Quality Disturbance Classification Method Based on Fine‐Tuned Moment Foundation Model
IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.This paper introduces a robust power quality disturbance (PQD) classification method by fine‐tuning the moment time‐series foundation model to address the challenges of non‐Gaussian noise and varying sampling rates in inverter‐dominated grids. By utilising a resolution‐invariant patching mechanism and robust statistical normalisation, the proposed ...
Chengrui Zhang +5 more
wiley +1 more source
Second-order synchrosqueezing transform or invertible reassignment? Towards ideal time-frequency representations [PDF]
, 2015 International audienceThis paper considers the analysis of multicomponent signals, defined as superpositions of real or complex modulated waves. It introduces two new post-transformations for the short-time Fourier transform, that achieve a compact time ...
Perrier, Valérie +2 more
core +1 more source
Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform. [PDF]
PLoS ONE, 2016 We apply the recently developed adaptive non-harmonic model based on the wave-shape function, as well as the time-frequency analysis tool called synchrosqueezing transform (SST) to model and analyze oscillatory physiological signals.
Hau-Tieng Wu +6 more
doaj +1 more source
Review of Fault Detection Methods in Microgrids: From Conventional to Innovative Perspective
IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.The increasing global energy demand and the limitations of conventional resources have intensified the need for flexible, reliable, and sustainable energy solutions, highlighting the importance of microgrids. This study presents a comprehensive review of fault detection and management methods in microgrids, comparing traditional, signal processing ...
Mehmet Hasir +2 more
wiley +1 more source
The Synchrosqueezing transform for instantaneous spectral analysis [PDF]
, 2015 The Synchrosqueezing transform is a time-frequency analysis method that can decompose complex signals into time-varying oscillatory components. It is a form of time-frequency reassignment that is both sparse and invertible, allowing for the recovery of the signal.
openaire +2 more sources
, 2021 This research presents a new method for detecting obsessive-compulsive disorder (OCD) based on time-frequency analysis of multi-channel electroencephalogram (EEG) signals using the multi-variate synchrosqueezing transform (MSST).
ÖZEL, PINAR, Olamat, Ali, AKAN, AYDIN
core +1 more source
IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.ABSTRACT This paper provides a comprehensive examination of the evolving protection challenges within DC microgrids powered by renewable resources and energy storage systems. It begins by delineating the methodological framework of conventional protection, critically assessing schemes based on current, voltage, and impedance to expose their limitations
Mohamed Elmadawy +7 more
wiley +1 more source