Zhiliang Liu

According to our database, Zhiliang Liu authored at least 49 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive Local Flaw Detection Based on Magnetic Flux Leakage Images With a Noise Distortion Effect for Steel Wire Ropes.

Feiyang Pan, Zhiliang Liu, Liyuan Ren, Ming Jian Zuo

IEEE Trans. Ind. Electron., April, 2024

An Online Fault Detection and Remaining Life Prediction Method Based on SVDD for Rolling Bearings.

Aiyun Yan, Yuhang Zhao, Zhenlin Lu, Yongheng Pang, Shuowei Jin, Zhiliang Liu, Hongchao Xu, Huan He

IEEE Trans. Instrum. Meas., 2024

A Few-Shot Machinery Fault Diagnosis Framework Based on Self-Supervised Signal Representation Learning.

Huan Wang, Xindan Wang, Yizhuo Yang, Konstantinos C. Gryllias, Zhiliang Liu

IEEE Trans. Instrum. Meas., 2024

2023

Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis.

Jinrui Wang, Zongzhen Zhang, Zhiliang Liu, Baokun Han, Huaiqian Bao, Shanshan Ji

Reliab. Eng. Syst. Saf., June, 2023

An Adaptive Sampling Framework for Life Cycle Degradation Monitoring.

Yuhua Yin, Zhiliang Liu, Junhao Zhang, Enrico Zio, Ming Jian Zuo

Sensors, January, 2023

A Three-Dimensional Vibration Data Compression Method for Rolling Bearing Condition Monitoring.

Yuhua Yin, Zhiliang Liu, Ming Jian Zuo, Zetong Zhou, Junhao Zhang

IEEE Trans. Instrum. Meas., 2023

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

Chun Yang, Jiyang Zhang, Yang Chang, Jianxiao Zou, Zhiliang Liu, Shicai Fan

IEEE Trans. Instrum. Meas., 2023

Fully Simulated-Data-Driven Transfer-Learning Method for Rolling-Bearing-Fault Diagnosis.

Ting Ai, Zhiliang Liu, Jiyang Zhang, Honghao Liu, Yaqiang Jin, Ming Jian Zuo

IEEE Trans. Instrum. Meas., 2023

Shaking Noise Exploration and Elimination for Detecting Local Flaws of Steel Wire Ropes Based on Magnetic Flux Leakages.

Zhiliang Liu, Liyuan Ren

IEEE Trans. Ind. Electron., 2023

2022

Feature-Level Attention-Guided Multitask CNN for Fault Diagnosis and Working Conditions Identification of Rolling Bearing.

Huan Wang, Zhiliang Liu, Dandan Peng, Mei Yang, Yong Qin

IEEE Trans. Neural Networks Learn. Syst., 2022

A class-aware supervised contrastive learning framework for imbalanced fault diagnosis.

Jiyang Zhang, Jianxiao Zou, Zhiheng Su, Jianxiong Tang, Yuhao Kang, Hongbing Xu, Zhiliang Liu, Shicai Fan

Knowl. Based Syst., 2022

Self-supervised signal representation learning for machinery fault diagnosis under limited annotation data.

Huan Wang, Zhiliang Liu, Yipei Ge, Dandan Peng

Knowl. Based Syst., 2022

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

Zhiliang Liu, Chong Lin, Yun Shang

Neurocomputing, 2022

2021

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

Zhiliang Liu, Peng Shi, Bing Chen, Chong Lin

IEEE Trans. Syst. Man Cybern. Syst., 2021

Shaking Noise Elimination for Detecting Local Flaw in Steel Wire Ropes Based on Magnetic Flux Leakage Detection.

Liyuan Ren, Zhiliang Liu, Jianguo Zhou

IEEE Trans. Instrum. Meas., 2021

Multitask Learning Based on Lightweight 1DCNN for Fault Diagnosis of Wheelset Bearings.

Zhiliang Liu, Huan Wang, Junjie Liu, Yong Qin, Dandan Peng

IEEE Trans. Instrum. Meas., 2021

Early Change Detection in Dynamical Bearing Degradation Process Based on Hierarchical Graph Model and Adaptive Inputs Weighting Fusion.

Shaohua Yang, Zhiliang Liu, Guoliang Lu

IEEE Trans. Ind. Informatics, 2021

Fault Diagnosis of Steel Wire Ropes Based on Magnetic Flux Leakage Imaging Under Strong Shaking and Strand Noises.

Zuopu Zhou, Zhiliang Liu

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.

Chengpeng Lu, Muchen Hou, Zhiliang Liu, Hengji Li, Chenyu Lu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Automatic Detection of Obstructive Sleep Apnea Events Using a Deep CNN-LSTM Model.

Junming Zhang, Zhen Tang, Jinfeng Gao, Li Lin, Zhiliang Liu, Haitao Wu, Fang Liu, Ruxian Yao

Comput. Intell. Neurosci., 2021

Adversarial attack for deep-learning-based fault diagnosis models.

Yipei Ge, Huan Wang, Zhiliang Liu

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Fault Diagnosis of Vibration Data Acquisition System.

Yujie Wu, Yuhua Yin, Zetong Zhou, Zhiliang Liu

Proceedings of the CAA Symposium on Fault Detection, 2021

2020

Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis.

Huan Wang, Zhiliang Liu, Dandan Peng, Yong Qin

IEEE Trans. Ind. Informatics, 2020

Multibranch and Multiscale CNN for Fault Diagnosis of Wheelset Bearings Under Strong Noise and Variable Load Condition.

Dandan Peng, Huan Wang, Zhiliang Liu, Wei Zhang, Ming Jian Zuo, Jian Chen

IEEE Trans. Ind. Informatics, 2020

Adaptive neural quantized control for a class of switched nonlinear systems.

Zhiliang Liu, Bing Chen, Chong Lin

Inf. Sci., 2020

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

Chengpeng Lu, Wei Ji, Zhiliang Liu, Shuheng Dong, Bing Xue

Complex., 2020

Analysis of network topology and deployment mode of 5G wireless access network.

Zhiliang Liu, Zengzhi Zou

Comput. Commun., 2020

Reliable stream data processing for elastic distributed stream processing systems.

Xiaohui Wei, Yuan Zhuang, Hongliang Li, Zhiliang Liu

Clust. Comput., 2020

2019

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

Xin Wen, Guangyuan Chen, Guoliang Lu, Zhiliang Liu, Peng Yan

Sensors, 2019

Deep Hashing Neural Networks for Hyperspectral Image Feature Extraction.

Leyuan Fang, Zhiliang Liu, Weiwei Song

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.

Yun Shang, Bing Chen, Chong Lin, Zhiliang Liu

IEEE Access, 2019

A Novel Deeper One-Dimensional CNN With Residual Learning for Fault Diagnosis of Wheelset Bearings in High-Speed Trains.

Dandan Peng, Zhiliang Liu, Huan Wang, Yong Qin, Limin Jia

IEEE Access, 2019

Adaptive Neural Constraint Output Control for a Class of Quantized Input Switched Nonlinear System.

Zhiliang Liu, Bing Chen, Chong Lin, Yun Shang

IEEE Access, 2019

Distributed Adaptive Tracking Control for a Class of High-order Uncertain Nonlinear Multi-agent Systems via Neural Approximation Approach.

Yun Shang, Bing Chen, Chong Lin, Zhiliang Liu

Proceedings of the 12th Asian Control Conference, 2019

2018

Informative frequency band selection based on a new indicator: Accuracy rate.

Yaqiang Jin, Zhiliang Liu, Dandan Peng, Jinlong Kang, Jianming Ding

J. Intell. Fuzzy Syst., 2018

Output-feedback control design for switched nonlinear systems: Adaptive neural backstepping approach.

Zhiliang Liu, Bing Chen, Chong Lin

Inf. Sci., 2018

Understanding real faults of axle box bearings based on vibration data using decision tree.

Xuejun Zhao, Yong Qin, Linlin Kou, Zhiliang Liu

Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

Improved Empirical AM and FM Demodulation for Mono-component Signals.

Dandan Peng, Zhiliang Liu, Ronghui Li, Yongbo Li

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.

Yongbo Li, Xianzhi Wang, Zhiliang Liu, Shubin Si

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.

Zhiliang Liu, Bing Chen, Chong Lin

IEEE Trans. Syst. Man Cybern. Syst., 2017

Observer-based adaptive fuzzy control of switched nonlinear systems under arbitrary switchings.

Zhiliang Liu, Bing Chen, Chong Lin, Li Zhang

Proceedings of the 11th Asian Control Conference, 2017

2016

Fast kernel feature ranking using class separability for big data mining.

Zhiliang Liu

J. Supercomput., 2016

2015

An Analytical Approach to Fast Parameter Selection of Gaussian RBF Kernel for Support Vector Machine.

Zhiliang Liu, Ming Jian Zuo, Xiaomin Zhao, Hongbing Xu

J. Inf. Sci. Eng., 2015

2014

Feature selection for fault level diagnosis of planetary gearboxes.

Zhiliang Liu, Xiaomin Zhao, Ming Jian Zuo, Hongbing Xu

Adv. Data Anal. Classif., 2014

2013

A Semi-Supervised Approach Based on k-Nearest Neighbor.

Zhiliang Liu, Xiaomin Zhao, Jianxiao Zou, Hongbing Xu

J. Softw., 2013

2011

Converting Digital Image to SVG for User Interaction.

Qiang Wei, Dancheng Li, Cheng Liu, Binsheng Liu, Zhiliang Liu

Proceedings of the Applied Informatics and Communication - International Conference, 2011

Comparison of two filter media for nuclear, chemical and biological filter applications.

Xin Lu, Zhiliang Liu, Peng Peng, Guoqing Wu

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.

Zhiliang Liu, Xin Lu, Peng Peng

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.

Chun-Yan Han, Yixian Liu, Ji-Peng Liu, Zhiliang Liu, Dancheng Li, Zhiliang Zhu, Jingde Cheng

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010