Xingjian Dong

Orcid: 0000-0003-1246-7604

Affiliations:
  • Shanghai Jiao Tong University, China


According to our database1, Xingjian Dong authored at least 14 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Interpreting What Typical Fault Signals Look Like via Prototype-matching.
CoRR, 2024

2022
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis.
CoRR, 2022

2020
Detecting the Early Damages in Structures With Nonlinear Output Frequency Response Functions and the CNN-LSTM Model.
IEEE Trans. Instrum. Meas., 2020

2019
Warped Variational Mode Decomposition With Application to Vibration Signals of Varying-Speed Rotating Machineries.
IEEE Trans. Instrum. Meas., 2019

Frequency-domain intrinsic component decomposition for multimodal signals with nonlinear group delays.
Signal Process., 2019

2018
Parameterized model based Short-time chirp component decomposition.
Signal Process., 2018

Impulse response function identification of linear mechanical systems based on Kautz basis expansion with multiple poles.
Int. J. Syst. Sci., 2018

2017
Chirplet Path Fusion for the Analysis of Time-Varying Frequency-Modulated Signals.
IEEE Trans. Ind. Electron., 2017

Intrinsic chirp component decomposition by using Fourier Series representation.
Signal Process., 2017

2016
Time-Varying Frequency-Modulated Component Extraction Based on Parameterized Demodulation and Singular Value Decomposition.
IEEE Trans. Instrum. Meas., 2016

2015
Component Extraction for Non-Stationary Multi-Component Signal Using Parameterized De-chirping and Band-Pass Filter.
IEEE Signal Process. Lett., 2015

A novel damage detection approach by using Volterra kernel functions based analysis.
J. Frankl. Inst., 2015

2014
Application of Parameterized Time-Frequency Analysis on Multicomponent Frequency Modulated Signals.
IEEE Trans. Instrum. Meas., 2014

Modeling of the Through-the-Thickness Electric Potentials of a Piezoelectric Bimorph Using the Spectral Element Method.
Sensors, 2014


  Loading...