Zhibin Zhao

Orcid: 0000-0003-4180-7137

Affiliations:
  • Xi'an Jiaotong University, Xi'an, China


According to our database1, Zhibin Zhao authored at least 77 papers between 2017 and 2025.

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

Timeline

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Bibliography

2025
Physics-Informed Neural Network for Satellite Battery Degradation Estimation Based on an Extreme Segment Data Within 2 Min.
IEEE Trans. Ind. Electron., September, 2025

Personalized Federated Transfer Learning Based on Global Synthetic Data for Battery State of Health Estimation.
IEEE Internet Things J., September, 2025

Small Object Few-Shot Segmentation for Vision-Based Industrial Inspection.
IEEE Trans. Ind. Informatics, June, 2025

Pose Estimation and Neural Implicit Reconstruction Toward Noncooperative Spacecraft Without Offline Prior Information.
IEEE Trans. Aerosp. Electron. Syst., April, 2025

Qualitative and quantitative characterization of powder bed quality in laser powder-bed fusion additive manufacturing by multi-task learning.
J. Intell. Manuf., April, 2025

A Universal Domain Adaptation Method With Cluster Matching for Machinery Fault Diagnosis.
IEEE Internet Things J., March, 2025

Inherently Interpretable Physics-Informed Neural Network for Battery Modeling and Prognosis.
IEEE Trans. Neural Networks Learn. Syst., January, 2025

A Gesture Recognition System Using Electrical Impedance Tomography With Improved Electrode Layout and Classification Techniques.
IEEE Trans. Instrum. Meas., 2025

Learning Interpretable and Transferable Representations via Wavelet-Constrained Transformer for Industrial Acoustic Diagnosis.
IEEE Trans. Instrum. Meas., 2025

Hierarchical Physics-Informed Neural Network for Rotor System Health Assessment.
IEEE Trans Autom. Sci. Eng., 2025

Gearbox fault diagnosis based on temporal shrinkage interpretable deep reinforcement learning under strong noise.
Eng. Appl. Artif. Intell., 2025

DA2: Distribution-agnostic adaptive feature adaptation for one-class classification.
Comput. Vis. Image Underst., 2025

T2Net: An Attention-Enhanced Network for Trustworthy Thermal Imaging-Based Lubrication System Condition Assessment.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

Within and Among Wavelet-subband Sparse Decomposition For Bearing Fault Diagnosis.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

2024
Optimized Online Remaining Useful Life Prediction for Nuclear Circulating Water Pump Considering Time-Varying Degradation Mechanism.
IEEE Trans. Ind. Informatics, September, 2024

Uncertainty-Aware Deep Learning: A Promising Tool for Trustworthy Fault Diagnosis.
IEEE CAA J. Autom. Sinica, June, 2024

Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Dynamic model-assisted transferable network for liquid rocket engine fault diagnosis using limited fault samples.
Reliab. Eng. Syst. Saf., March, 2024

Differentiable sampling based efficient architecture search for automatic fault diagnosis.
Eng. Appl. Artif. Intell., January, 2024

Time-Frequency Postprocessing Method Based on Generalized S-Transform and Its Application to Aeroengine Rotor System Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024

On Grain Security by Temperature Interpolation: A Deep Learning Method for Comprehensive Data Fusion in Smart Granaries.
IEEE Trans. Instrum. Meas., 2024

Physical knowledge guided state of health estimation of lithium-ion battery with limited segment data.
Reliab. Eng. Syst. Saf., 2024

CIS2N: Causal independence and sparse shift network for rotating machinery fault diagnosis in unseen domains.
Reliab. Eng. Syst. Saf., 2024

Privacy-preserving federated transfer learning for defect identification from highly imbalanced image data in additive manufacturing.
Robotics Comput. Integr. Manuf., 2024

Residual-based adversarial feature decoupling for remaining useful life prediction of aero-engines under variable operating conditions.
Expert Syst. Appl., 2024

Collaborative-sequential optimization for aero-engine maintenance based on multi-agent reinforcement learning.
Expert Syst. Appl., 2024

Efficient and lightweight layer-wise in-situ defect detection in laser powder bed fusion via knowledge distillation and structural re-parameterization.
Expert Syst. Appl., 2024

Causal explaining guided domain generalization for rotating machinery intelligent fault diagnosis.
Expert Syst. Appl., 2024

An interpretable graph neural network for real-world satellite power system anomaly detection based on graph filtering.
Expert Syst. Appl., 2024

Anomaly Detection from a Frequency Perspective: M-Band Wavelet Packet Anomaly Detection Network.
Proceedings of the IEEE International Conference on Acoustics, 2024

WavFormer: An Interpretable Wavelet-Constrained Transformer for Industrial Acoustics Diagnosis.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

Powder Bed Defect Extraction of Laser Powder Bed Fusion Additive Manufacturing with Tensor Robust Principal Component Analysis.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023
Industrial anomaly detection with domain shift: A real-world dataset and masked multi-scale reconstruction.
Comput. Ind., October, 2023

A universal transfer network for machinery fault diagnosis.
Comput. Ind., October, 2023

Spatial-temporal dual-channel adaptive graph convolutional network for remaining useful life prediction with multi-sensor information fusion.
Adv. Eng. Informatics, August, 2023

Statistical identification guided open-set domain adaptation in fault diagnosis.
Reliab. Eng. Syst. Saf., April, 2023

Explainability-driven model improvement for SOH estimation of lithium-ion battery.
Reliab. Eng. Syst. Saf., April, 2023

A novel temporal generative adversarial network for electrocardiography anomaly detection.
Artif. Intell. Medicine, February, 2023

Feature disentanglement and tendency retainment with domain adaptation for Lithium-ion battery capacity estimation.
Reliab. Eng. Syst. Saf., 2023

CA2: Class-Agnostic Adaptive Feature Adaptation for One-class Classification.
CoRR, 2023

MCAN: Interpretable Multi-scale Component Analysis Network for Mechanical Fault Diagnosis.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2022
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Unsupervised Machine Anomaly Detection Using Autoencoder and Temporal Convolutional Network.
IEEE Trans. Instrum. Meas., 2022

Interpretable Neural Network via Algorithm Unrolling for Mechanical Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022

Deep-Learning-Based Open Set Fault Diagnosis by Extreme Value Theory.
IEEE Trans. Ind. Informatics, 2022

2021
Bayesian Differentiable Architecture Search for Efficient Domain Matching Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021

Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study.
IEEE Trans. Instrum. Meas., 2021

Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021

Faster Multiscale Dictionary Learning Method With Adaptive Parameter Estimation for Fault Diagnosis of Traction Motor Bearings.
IEEE Trans. Instrum. Meas., 2021

Conditional Adversarial Domain Adaptation With Discrimination Embedding for Locomotive Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021

A U-Net-Based Approach for Tool Wear Area Detection and Identification.
IEEE Trans. Instrum. Meas., 2021

Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.
IEEE Trans. Instrum. Meas., 2021

Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis.
IEEE Trans. Ind. Electron., 2021

Robust enhanced trend filtering with unknown noise.
Signal Process., 2021

Learning from Class-imbalanced Data with a Model-Agnostic Framework for Machine Intelligent Diagnosis.
Reliab. Eng. Syst. Saf., 2021

Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life prediction.
Reliab. Eng. Syst. Saf., 2021

Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs.
CoRR, 2021

Machine Anomaly Detection under Changing Working Condition with Syncretic Self-Regression Auto-Encoder.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

Deep Discriminative Domain Generalization with Adversarial Feature Learning for Classifying ECG Signals.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Sparsity-Assisted Fault Feature Enhancement: Algorithm-Aware Versus Model-Aware.
IEEE Trans. Instrum. Meas., 2020

Sparse Multiperiod Group Lasso for Bearing Multifault Diagnosis.
IEEE Trans. Instrum. Meas., 2020

An Adaptive Online Blade Health Monitoring Method: From Raw Data to Parameters Identification.
IEEE Trans. Instrum. Meas., 2020

Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection.
IEEE Trans. Ind. Informatics, 2020

Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study.
CoRR, 2020

Interpreting network knowledge with attention mechanism for bearing fault diagnosis.
Appl. Soft Comput., 2020

The sparse and low-rank interpretation of SVD-based denoising for vibration signals.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

Time series clustering to examine presence of decrement in Parkinson's finger-tapping bradykinesia.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Adaptive Lead Weighted ResNet Trained With Different Duration Signals for Classifying 12-lead ECGs.
Proceedings of the Computing in Cardiology, 2020

2019
Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing.
IEEE Trans. Ind. Informatics, 2019

Enhanced Sparse Period-Group Lasso for Bearing Fault Diagnosis.
IEEE Trans. Ind. Electron., 2019

Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study.
CoRR, 2019

Blade Tip Timing: from Raw Data to Parameters Identification.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019

2018
Sparse Deep Stacking Network for Fault Diagnosis of Motor.
IEEE Trans. Ind. Informatics, 2018

Periodic overlapping group elastic net for fault diagnosis.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

2017
Matching Synchrosqueezing Wavelet Transform and Application to Aeroengine Vibration Monitoring.
IEEE Trans. Instrum. Meas., 2017

Wind Turbine Diagnosis under Variable Speed Conditions Using a Single Sensor Based on the Synchrosqueezing Transform Method.
Sensors, 2017

TQWT-based multi-scale dictionary learning for rotating machinery fault diagnosis.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017


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