Jinde Zheng

Orcid: 0000-0001-5735-4916

According to our database1, Jinde Zheng authored at least 51 papers between 2014 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Characteristic Energy Ratio Ramanujan-Gram: A Novel Optimal Multibands Demodulation Method.
IEEE Trans. Instrum. Meas., 2025

Global optimal Ramanujan spectrum: A feature extraction method without pseudo-monotonicity.
Expert Syst. Appl., 2025

2024
Maximum Ramanujan Spectrum Signal-to-Noise Ratio Deconvolution Method: Algorithm and Applications.
IEEE Trans. Ind. Informatics, October, 2024

DecFFD: A Personalized Federated Learning Framework for Cross-Location Fault Diagnosis.
IEEE Trans. Ind. Informatics, May, 2024

Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unit.
Reliab. Eng. Syst. Saf., February, 2024

A Semi-Supervised Matrixized Graph Embedding Machine for Roller Bearing Fault Diagnosis Under Few-Labeled Samples.
IEEE Trans. Ind. Informatics, January, 2024

Zero-Phase Filter-Based Adaptive Fourier Decomposition and Its Application to Fault Diagnosis of Rolling Bearing.
IEEE Trans. Instrum. Meas., 2024

A New Robust Projection Distributed Broad Learning Under Redundant Samples and Noisy Environment.
IEEE Trans. Instrum. Meas., 2024

Reduced Mode Decomposition: A New Signal Decomposition Method.
IEEE Trans. Instrum. Meas., 2024

Integrating intrinsic information: A novel open set domain adaptation network for cross-domain fault diagnosis with multiple unknown faults.
Knowl. Based Syst., 2024

Intelligent fault identification in sample imbalance scenarios using robust low-rank matrix classifier with fuzzy weighting factor.
Appl. Soft Comput., 2024

Broad Distributed Game Learning for intelligent classification in rolling bearing fault diagnosis.
Appl. Soft Comput., 2024

Research on roller bearing fault diagnosis based on robust smooth constrained matrix machine under imbalanced data.
Adv. Eng. Informatics, 2024

2023
Non-parallel bounded support matrix machine and its application in roller bearing fault diagnosis.
Inf. Sci., May, 2023

Deep stacked pinball transfer matrix machine with its application in roller bearing fault diagnosis.
Eng. Appl. Artif. Intell., May, 2023

Cyclic Symplectic Ramanujan Component Pursuit: Algorithm and applications.
Digit. Signal Process., April, 2023

A Novel Ensemble Learning-Based Multisensor Information Fusion Method for Rolling Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023

An Adversarial Multisource Data Subdomain Adaptation Model: A Promising Tool for Fault Diagnosis of Induction Motor Under Cross-Operating Conditions.
IEEE Trans. Instrum. Meas., 2023

Symplectic Geometry Transformation-Based Periodic Segment Method: Algorithm and Applications.
IEEE Trans. Instrum. Meas., 2023

Joint Threshold Learning Convolutional Networks for Intelligent Fault Diagnosis Under Nonstationary Conditions.
IEEE Trans. Instrum. Meas., 2023

Multi-sensor information fusion and coordinate attention-based fault diagnosis method and its interpretability research.
Eng. Appl. Artif. Intell., 2023

2022
Dynamic penalty adaptive matrix machine for the intelligent detection of unbalanced faults in roller bearing.
Knowl. Based Syst., 2022

Twin robust matrix machine for intelligent fault identification of outlier samples in roller bearing.
Knowl. Based Syst., 2022

A novel symplectic relevance matrix machine method for intelligent fault diagnosis of roller bearing.
Expert Syst. Appl., 2022

Composite Multivariate Multi-Scale Permutation Entropy and Laplacian Score Based Fault Diagnosis of Rolling Bearing.
Entropy, 2022

Pinball transfer support matrix machine for roller bearing fault diagnosis under limited annotation data.
Appl. Soft Comput., 2022

Multi-class fuzzy support matrix machine for classification in roller bearing fault diagnosis.
Adv. Eng. Informatics, 2022

2021
The Traverse Symplectic Correlation-Gram (TSCgram): A New and Effective Method of Optimal Demodulation Band Selection for Rolling Bearing.
IEEE Trans. Instrum. Meas., 2021

Permutation entropy-based improved uniform phase empirical mode decomposition for mechanical fault diagnosis.
Digit. Signal Process., 2021

An intelligent fault diagnosis method for roller bearing using symplectic hyperdisk matrix machine.
Appl. Soft Comput., 2021

Ramp sparse support matrix machine and its application in roller bearing fault diagnosis.
Appl. Soft Comput., 2021

Multivariate Nonlinear Sparse Mode Decomposition and Its Application in Gear Fault Diagnosis.
IEEE Access, 2021

2020
Symplectic interactive support matrix machine and its application in roller bearing condition monitoring.
Neurocomputing, 2020

An Improved Empirical Wavelet Transform and Refined Composite Multiscale Dispersion Entropy-Based Fault Diagnosis Method for Rolling Bearing.
IEEE Access, 2020

A Fault Classification Method for Rolling Bearing Based on Multisynchrosqueezing Transform and WOA-SMM.
IEEE Access, 2020

2019
Composite Interpolation-Based Multiscale Fuzzy Entropy and Its Application to Fault Diagnosis of Rolling Bearing.
Entropy, 2019

Time-Shift Multi-scale Weighted Permutation Entropy and GWO-SVM Based Fault Diagnosis Approach for Rolling Bearing.
Entropy, 2019

Partial ensemble approach to resolve the mode mixing of extreme-point weighted mode decomposition.
Digit. Signal Process., 2019

Detection for Incipient Damages of Wind Turbine Rolling Bearing Based on VMD-AMCKD Method.
IEEE Access, 2019

A Novel Roller Bearing Condition Monitoring Method Based on RHLCD and FVPMCD.
IEEE Access, 2019

A Generalized Framework of Adaptive Mode Decomposition.
IEEE Access, 2019

Rolling Element Bearings Fault Diagnosis Based on a Novel Optimal Frequency Band Selection Scheme.
IEEE Access, 2019

Refined Composite Multivariate Multiscale Dispersion Entropy and Its Application to Fault Diagnosis of Rolling Bearing.
IEEE Access, 2019

2018
Extreme-point weighted mode decomposition.
Signal Process., 2018

Time-Shift Multiscale Fuzzy Entropy and Laplacian Support Vector Machine Based Rolling Bearing Fault Diagnosis.
Entropy, 2018

Multiscale Distribution Entropy and t-Distributed Stochastic Neighbor Embedding-Based Fault Diagnosis of Rolling Bearings.
Entropy, 2018

2017
Adaptive parameterless empirical wavelet transform based time-frequency analysis method and its application to rotor rubbing fault diagnosis.
Signal Process., 2017

A Refined Composite Multivariate Multiscale Fuzzy Entropy and Laplacian Score-Based Fault Diagnosis Method for Rolling Bearings.
Entropy, 2017

2015
Roller Bearing Fault Diagnosis Method Based on Chemical Reaction Optimization and Support Vector Machine.
J. Comput. Civ. Eng., 2015

Maximum margin classification based on flexible convex hulls.
Neurocomputing, 2015

2014
Partly ensemble empirical mode decomposition: An improved noise-assisted method for eliminating mode mixing.
Signal Process., 2014


  Loading...