Ke Zhang
Orcid: 0000-0001-9747-9895Affiliations:
- Chongqing University, College of Automation, China
- University of Guelph, School of Engineering, ON, Canada (former)
According to our database1,
Ke Zhang
authored at least 27 papers
between 2009 and 2024.
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Bibliography
2024
IEEE Trans. Ind. Informatics, December, 2024
Subspace Frequency Estimation Under Colored Noise With Application to Fault Diagnosis of Motor Rolling Bearings.
IEEE Trans. Ind. Informatics, September, 2024
An Integrated Multitasking Intelligent Bearing Fault Diagnosis Scheme Based on Representation Learning Under Imbalanced Sample Condition.
IEEE Trans. Neural Networks Learn. Syst., May, 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
IEEE Trans. Ind. Informatics, November, 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
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
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
Expert Syst. Appl., 2010
2009
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009