Yongbo Li
Orcid: 0000-0003-2699-9951Affiliations:
- Northwestern Polytechnical University, Xi'an, Shaanxi, China
According to our database1,
Yongbo Li authored at least 70 papers
between 2015 and 2026.
Collaborative distances:
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Bibliography
2026
Employing natural language processing to build a knowledge graph in the realm of additive manufacturing.
J. Intell. Manuf., May, 2026
Federated Physics-Informed Graph Framework Guided by Multianchors for Heterogeneous Wheeled Robots Collaborative Fault Diagnosis.
IEEE Trans. Ind. Informatics, March, 2026
Scale-Compensation Community Distance Entropy: A Novel Feature Extraction Tool for Fault Identification of Rotating Machinery.
IEEE Trans. Ind. Informatics, February, 2026
Uncertainty aware federated averaging approach for privacy secured collaborative remaining useful life prediction of rolling element bearing.
Reliab. Eng. Syst. Saf., 2026
Facilitating heuristic reasoning by utilizing knowledge graph and natural language processing.
Knowl. Based Syst., 2026
Knowledge graph-driven fault diagnosis for aviation equipment: Integrating improved joint extraction with large language model.
J. Ind. Inf. Integr., 2026
PD-FedOS: Prototype-driven federated open-set learning framework for collaborative intelligent fault diagnosis of aero-engine rotor systems.
Expert Syst. Appl., 2026
2025
Condition-Adaptive Permutation Entropy: A Novel Dynamic Complexity-Based Health Indicator for Bearing Health Monitoring.
IEEE Trans. Reliab., March, 2025
An Improved Lempel-Ziv Complexity Indicator Based on Multiscale Decomposition and Multiscale Encoding for Bearing Failure Severity Recognition.
IEEE Trans. Instrum. Meas., 2025
An Improved Lempel-Ziv Complexity for Bearing Fault Diagnosis Based on the Time-Frequency Encoding Method.
IEEE Trans. Instrum. Meas., 2025
Time-Frequency Mode Adaptive Decomposition Based on the Maximum Kurtosis for Extracting Fault Component of Bearings.
IEEE Trans. Instrum. Meas., 2025
Extended Sliding Time Synchronous Averaging for Enhancing Weak Fault Feature of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2025
Multisource Heterogeneous Information Fusion Based on Graph Convolutional Network for Gearbox Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2025
Comprehensive Dynamic Prognosis of Rolling Element Bearing Health Through Adaptively Demodulated Nonlinear Dispersive Spectral Entropy.
IEEE Trans Autom. Sci. Eng., 2025
Lifting wavelet-informed hierarchical domain adaptation network: An interpretable digital twin-driven gearbox fault diagnosis method.
Reliab. Eng. Syst. Saf., 2025
Physics-driven Bayesian long short-term memory network for machinery remaining useful life prediction with uncertainty estimation.
Reliab. Eng. Syst. Saf., 2025
Trustworthy multimodal feature-enhanced fusion network for non-contact rotating machinery fault diagnosis.
Inf. Fusion, 2025
FedPM-SGN: A federated graph network for aviation equipment fault diagnosis by multi-sensor fusion in decentralized and heterogeneous setting.
Inf. Fusion, 2025
Two-Dimensional Image Lempel-Ziv Complexity Calculation Method and Its Application in Defect Detection.
Entropy, 2025
Fuzzy diversity entropy as a nonlinear measure for the intelligent fault diagnosis of rotating machinery.
Adv. Eng. Informatics, 2025
AddManBERT: A combinatorial triples extraction and classification task for establishing a knowledge graph to facilitate design for additive manufacturing.
Adv. Eng. Informatics, 2025
Spatio-temporal graph convolutional network with domain generalization: A novel rotating machinery RUL prediction method in small samples.
Adv. Eng. Informatics, 2025
2024
A Rotating Machinery Fault Diagnosis Method Based on Dynamic Graph Convolution Network and Hard Threshold Denoising.
Sensors, August, 2024
Multivariate multiscale dispersion Lempel-Ziv complexity for fault diagnosis of machinery with multiple channels.
Inf. Fusion, April, 2024
Reliab. Eng. Syst. Saf., February, 2024
A Novel Nonlinear Dynamic Measure for Early Detection of Bearing Fault Using Weighted Squared Envelope-Based Symbolic Lempel-Ziv Complexity.
IEEE Trans. Instrum. Meas., 2024
Multi-task learning mixture density network for interval estimation of the remaining useful life of rolling element bearings.
Reliab. Eng. Syst. Saf., 2024
Towards trustworthy remaining useful life prediction through multi-source information fusion and a novel LSTM-DAU model.
Reliab. Eng. Syst. Saf., 2024
Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis.
Inf. Fusion, 2024
Cross-modal zero-sample diagnosis framework utilizing non-contact sensing data fusion.
Inf. Fusion, 2024
Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions.
Eng. Appl. Artif. Intell., 2024
Local maximum instantaneous extraction transform based on extended autocorrelation function for bearing fault diagnosis.
Adv. Eng. Informatics, 2024
Sliding time-frequency synchronous average based on autocorrelation function for extracting fault feature of bearings.
Adv. Eng. Informatics, 2024
The Application of Lempel-Ziv Complexity in Medicine Science, Nature Science, Social Science, and Engineering: A Review and Prospect.
IEEE Access, 2024
2023
A two-phase-based deep neural network for simultaneous health monitoring and prediction of rolling bearings.
Reliab. Eng. Syst. Saf., October, 2023
Non-contact diagnosis for gearbox based on the fusion of multi-sensor heterogeneous data.
Inf. Fusion, June, 2023
Oscillatory Lempel-Ziv Complexity Calculation as a Nonlinear Measure for Continuous Monitoring of Bearing Health.
IEEE Trans. Reliab., March, 2023
A Novel Weak Feature Extraction Method for Rotating Machinery: Link Dispersion Entropy.
IEEE Trans. Instrum. Meas., 2023
Early fault diagnosis of rotating machinery based on composite zoom permutation entropy.
Reliab. Eng. Syst. Saf., 2023
Optimal symbolic entropy: An adaptive feature extraction algorithm for condition monitoring of bearings.
Inf. Fusion, 2023
Transferable dynamic enhanced cost-sensitive network for cross-domain intelligent diagnosis of rotating machinery under imbalanced datasets.
Eng. Appl. Artif. Intell., 2023
2022
Continuous Health Monitoring of Rolling Element Bearing Based on Nonlinear Oscillatory Sample Entropy.
IEEE Trans. Instrum. Meas., 2022
Multiscale Symbolic Diversity Entropy: A Novel Measurement Approach for Time-Series Analysis and Its Application in Fault Diagnosis of Planetary Gearboxes.
IEEE Trans. Ind. Informatics, 2022
Variational Embedding Multiscale Diversity Entropy for Fault Diagnosis of Large-Scale Machinery.
IEEE Trans. Ind. Electron., 2022
Partial Transfer Ensemble Learning Framework: A Method for Intelligent Diagnosis of Rotating Machinery Based on an Incomplete Source Domain.
Sensors, 2022
Advanced Fault Diagnosis and Health Monitoring Techniques for Complex Engineering Systems.
Sensors, 2022
Composite Multiscale Transition Permutation Entropy-Based Fault Diagnosis of Bearings.
Sensors, 2022
Fusion Domain-Adaptation CNN Driven by Images and Vibration Signals for Fault Diagnosis of Gearbox Cross-Working Conditions.
Entropy, 2022
Entropy, 2022
2021
A Novel Cross-Domain Intelligent Fault Diagnosis Method Based on Entropy Features and Transfer Learning.
IEEE Trans. Instrum. Meas., 2021
Multiscale Diversity Entropy: A Novel Dynamical Measure for Fault Diagnosis of Rotating Machinery.
IEEE Trans. Ind. Informatics, 2021
Multiscale Symbolic Lempel-Ziv: An Effective Feature Extraction Approach for Fault Diagnosis of Railway Vehicle Systems.
IEEE Trans. Ind. Informatics, 2021
Cross-Domain Intelligent Fault Diagnosis Method of Rotating Machinery Using Multi-Scale Transfer Fuzzy Entropy.
IEEE Access, 2021
2020
Entropy Based Fault Classification Using the Case Western Reserve University Data: A Benchmark Study.
IEEE Trans. Reliab., 2020
2019
An Evaluation of Gearbox Condition Monitoring Using Infrared Thermal Images Applied with Convolutional Neural Networks.
Sensors, 2019
The Optimized Multi-Scale Permutation Entropy and Its Application in Compound Fault Diagnosis of Rotating Machinery.
Entropy, 2019
A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying-Speed Conditions Using Infrared Thermography.
Complex., 2019
IEEE Access, 2019
2018
A method based on refined composite multi-scale symbolic dynamic entropy and ISVM-BT for rotating machinery fault diagnosis.
Neurocomputing, 2018
The Entropy Algorithm and Its Variants in the Fault Diagnosis of Rotating Machinery: A Review.
IEEE Access, 2018
Fault Diagnosis of Rolling Bearing Under Speed Fluctuation Condition Based on Vold-Kalman Filter and RCMFE.
IEEE Access, 2018
Proceedings of the IEEE Industrial Cyber-Physical Systems, 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
Early Fault Diagnosis of Rotating Machinery by Combining Differential Rational Spline-Based LMD and K-L Divergence.
IEEE Trans. Instrum. Meas., 2017
Application of Bandwidth EMD and Adaptive Multiscale Morphology Analysis for Incipient Fault Diagnosis of Rolling Bearings.
IEEE Trans. Ind. Electron., 2017
2016
Health Condition Monitoring and Early Fault Diagnosis of Bearings Using SDF and Intrinsic Characteristic-Scale Decomposition.
IEEE Trans. Instrum. Meas., 2016
2015
A new rotating machinery fault diagnosis method based on improved local mean decomposition.
Digit. Signal Process., 2015