Zhiliang Liu
Orcid: 0000-0002-4133-8230
According to our database1,
Zhiliang Liu
authored at least 52 papers
between 2010 and 2024.
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Bibliography
2024
A Data Compression Method With an Encryption Feature for Safe and Lightweight Vibration Condition Monitoring.
IEEE Internet Things J., October, 2024
Fourier Feature Refiner Network With Soft Thresholding for Machinery Fault Diagnosis Under Highly Noisy Conditions.
IEEE Internet Things J., July, 2024
Adaptive Local Flaw Detection Based on Magnetic Flux Leakage Images With a Noise Distortion Effect for Steel Wire Ropes.
IEEE Trans. Ind. Electron., April, 2024
An Online Fault Detection and Remaining Life Prediction Method Based on SVDD for Rolling Bearings.
IEEE Trans. Instrum. Meas., 2024
A Few-Shot Machinery Fault Diagnosis Framework Based on Self-Supervised Signal Representation Learning.
IEEE Trans. Instrum. Meas., 2024
Physics-driven feature alignment combined with dynamic distribution adaptation for three-cylinder drilling pump cross-speed fault diagnosis.
Reliab. Eng. Syst. Saf., 2024
2023
Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis.
Reliab. Eng. Syst. Saf., June, 2023
Sensors, January, 2023
A Three-Dimensional Vibration Data Compression Method for Rolling Bearing Condition Monitoring.
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Instrum. Meas., 2023
Fully Simulated-Data-Driven Transfer-Learning Method for Rolling-Bearing-Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
Shaking Noise Exploration and Elimination for Detecting Local Flaws of Steel Wire Ropes Based on Magnetic Flux Leakages.
IEEE Trans. Ind. Electron., 2023
2022
Feature-Level Attention-Guided Multitask CNN for Fault Diagnosis and Working Conditions Identification of Rolling Bearing.
IEEE Trans. Neural Networks Learn. Syst., 2022
A class-aware supervised contrastive learning framework for imbalanced fault diagnosis.
Knowl. Based Syst., 2022
Self-supervised signal representation learning for machinery fault diagnosis under limited annotation data.
Knowl. Based Syst., 2022
Neurocomputing, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Shaking Noise Elimination for Detecting Local Flaw in Steel Wire Ropes Based on Magnetic Flux Leakage Detection.
IEEE Trans. Instrum. Meas., 2021
Multitask Learning Based on Lightweight 1DCNN for Fault Diagnosis of Wheelset Bearings.
IEEE Trans. Instrum. Meas., 2021
Early Change Detection in Dynamical Bearing Degradation Process Based on Hierarchical Graph Model and Adaptive Inputs Weighting Fusion.
IEEE Trans. Ind. Informatics, 2021
Fault Diagnosis of Steel Wire Ropes Based on Magnetic Flux Leakage Imaging Under Strong Shaking and Strand Noises.
IEEE Trans. Ind. Electron., 2021
Variation Characteristic of NDVI and its Response to Climate Change in the Middle and Upper Reaches of Yellow River Basin, China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Comput. Intell. Neurosci., 2021
Proceedings of the 21st IEEE International Conference on Software Quality, 2021
Proceedings of the CAA Symposium on Fault Detection, 2021
2020
Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis.
IEEE Trans. Ind. Informatics, 2020
Multibranch and Multiscale CNN for Fault Diagnosis of Wheelset Bearings Under Strong Noise and Variable Load Condition.
IEEE Trans. Ind. Informatics, 2020
Inf. Sci., 2020
Synergistic Evaluation and Constraint Factor Analysis on Urban Industrial Ecosystems of Traditional Industrial Area in China.
Complex., 2020
Comput. Commun., 2020
Clust. Comput., 2020
2019
Differential Equation-Based Prediction Model for Early Change Detection in Transient Running Status.
Sensors, 2019
IEEE Geosci. Remote. Sens. Lett., 2019
Adaptive Tracking Control for a Class of Uncertain Nonlinear Multi-Agent Systems With Input Quantization Based on Neural Approach.
IEEE Access, 2019
A Novel Deeper One-Dimensional CNN With Residual Learning for Fault Diagnosis of Wheelset Bearings in High-Speed Trains.
IEEE Access, 2019
Adaptive Neural Constraint Output Control for a Class of Quantized Input Switched Nonlinear System.
IEEE Access, 2019
Distributed Adaptive Tracking Control for a Class of High-order Uncertain Nonlinear Multi-agent Systems via Neural Approximation Approach.
Proceedings of the 12th Asian Control Conference, 2019
2018
J. Intell. Fuzzy Syst., 2018
Output-feedback control design for switched nonlinear systems: Adaptive neural backstepping approach.
Inf. Sci., 2018
Understanding real faults of axle box bearings based on vibration data using decision tree.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018
A fault diagnosis method of planetary gearbox under variable speed condition using Vold-Kalman filter and Laplacian score.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018
2017
Adaptive Neural Backstepping for a Class of Switched Nonlinear System Without Strict-Feedback Form.
IEEE Trans. Syst. Man Cybern. Syst., 2017
Observer-based adaptive fuzzy control of switched nonlinear systems under arbitrary switchings.
Proceedings of the 11th Asian Control Conference, 2017
2016
J. Supercomput., 2016
2015
An Analytical Approach to Fast Parameter Selection of Gaussian RBF Kernel for Support Vector Machine.
J. Inf. Sci. Eng., 2015
2014
Adv. Data Anal. Classif., 2014
2013
2011
Proceedings of the Applied Informatics and Communication - International Conference, 2011
Comparison of two filter media for nuclear, chemical and biological filter applications.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011
Comparison of two mathematical models for predicting the fallout hazard from terrorist nuclear detonations.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011
2010
Logic basis for anticipatory reasoning-reacting systems with three-dimensional moving objects.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010