Ke Zhang

Orcid: 0000-0001-9747-9895

Affiliations:
  • Chongqing University, College of Automation, China
  • University of Guelph, School of Engineering, ON, Canada (former)


According to our database1, Ke Zhang authored at least 24 papers between 2009 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Gaussian Mixture Variational-Based Transformer Domain Adaptation Fault Diagnosis Method and Its Application in Bearing Fault Diagnosis.
IEEE Trans. Ind. Informatics, January, 2024

2023
Restricted Sparse Networks for Rolling Bearing Fault Diagnosis.
IEEE Trans. Ind. Informatics, November, 2023

Gradient leakage attacks in federated learning.
Artif. Intell. Rev., October, 2023

Domain adaptation network base on contrastive learning for bearings fault diagnosis under variable working conditions.
Expert Syst. Appl., February, 2023

Evaluation Technology of Zero-Window Punctual Launch for Space Station Construction Tasks.
Proceedings of the CAA Symposium on Fault Detection, 2023

A receptive field transfer strategy using layer-aligned distillation learning for multivariate fault signal denoising.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
Bearing Fault Diagnosis Under Variable Working Conditions Base on Contrastive Domain Adaptation Method.
IEEE Trans. Instrum. Meas., 2022

Recover User's Private Training Image Data by Gradient in Federated Learning.
Sensors, 2022

A new current sensor incipient fault diagnosis method for converters in wind energy conversion systems.
Sci. China Inf. Sci., 2022

Fault estimation based on high order iterative learning scheme for systems subject to nonlinear uncertainties.
Sci. China Inf. Sci., 2022

2021
Identification of Wiener-Hammerstein models based on variational bayesian approach in the presence of process noise.
J. Frankl. Inst., 2021

A Novel Fault Diagnosis Method Via Data Dynamic Property Inspired Density-Based-Clustering.
Proceedings of the CAA Symposium on Fault Detection, 2021

An intelligent fault diagnosis method for planetary gearbox based on the MPSO optimizing the Bi-LSTM parameter combination.
Proceedings of the CAA Symposium on Fault Detection, 2021

Deep Transfer Learning Network for Fault Diagnosis Under Variable Working Conditions.
Proceedings of the CAA Symposium on Fault Detection, 2021

2019
Iterative Learning Scheme Based Sensor Fault Estimation for Nonlinear Repetitive System.
IEEE Access, 2019

Sensor Fault Estimation via Iterative Learning Scheme for Linear Repetitive System.
Proceedings of the CAA Symposium on Fault Detection, 2019

2018
Gear Fault Diagnosis in Variable Speed Condition Based on Multiscale Chirplet Path Pursuit and Linear Canonical Transform.
Complex., 2018

Diagnosis of Gear Faults by Using the Linear Canonical Transform in Acceleration and Deceleration Processes.
IEEE Access, 2018

Multi-Parameter-Setting Based on Data Original Distribution for DENCLUE Optimization.
IEEE Access, 2018

2017
Iterative Learning Fault Estimation Design for Nonlinear System with Random Trial Length.
Complex., 2017

2016
Uncertainty principle and orthogonal condition for the short-time linear canonical transform.
Signal Image Video Process., 2016

2011
Pre-warning analysis and application in traceability systems for food production supply chains.
Expert Syst. Appl., 2011

2010
Self-organizing feature map for cluster analysis in multi-disease diagnosis.
Expert Syst. Appl., 2010

2009
Pre-warning Analysis in Traceability Systems for Food Production Supply Chains.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009


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