Zhiliang Liu

Orcid: 0000-0002-4133-8230

According to our database1, Zhiliang Liu authored at least 52 papers between 2010 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

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

An Adaptive Sampling Framework for Life Cycle Degradation Monitoring.
Sensors, January, 2023

A Three-Dimensional Vibration Data Compression Method for Rolling Bearing Condition Monitoring.
IEEE Trans. Instrum. Meas., 2023

A Novel Deep Parallel Time-Series Relation Network for Fault Diagnosis.
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

Prescribed-time adaptive neural feedback control for a class of nonlinear systems.
Neurocomputing, 2022

2021
Control Design for Uncertain Switched Nonlinear Systems: Adaptive Neural Approach.
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

Automatic Detection of Obstructive Sleep Apnea Events Using a Deep CNN-LSTM Model.
Comput. Intell. Neurosci., 2021

Adversarial attack for deep-learning-based fault diagnosis models.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Fault Diagnosis of Vibration Data Acquisition System.
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

Adaptive neural quantized control for a class of switched nonlinear systems.
Inf. Sci., 2020

Synergistic Evaluation and Constraint Factor Analysis on Urban Industrial Ecosystems of Traditional Industrial Area in China.
Complex., 2020

Analysis of network topology and deployment mode of 5G wireless access network.
Comput. Commun., 2020

Reliable stream data processing for elastic distributed stream processing systems.
Clust. Comput., 2020

2019
Differential Equation-Based Prediction Model for Early Change Detection in Transient Running Status.
Sensors, 2019

Deep Hashing Neural Networks for Hyperspectral Image Feature Extraction.
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
Informative frequency band selection based on a new indicator: Accuracy rate.
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

Improved Empirical AM and FM Demodulation for Mono-component Signals.
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
Fast kernel feature ranking using class separability for big data mining.
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
Feature selection for fault level diagnosis of planetary gearboxes.
Adv. Data Anal. Classif., 2014

2013
A Semi-Supervised Approach Based on k-Nearest Neighbor.
J. Softw., 2013

2011
Converting Digital Image to SVG for User Interaction.
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


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