Dong Wang
Orcid: 0000-0003-4872-4860Affiliations:
- Shanghai Jiao Tong University, State Key Laboratory of Mechanical System and Vibration, China
- City University of Hong Kong, Department of Systems Engineering and Engineering Management (PhD 2015)
According to our database1,
Dong Wang
authored at least 75 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
A Collaborative Scheduling Algorithm for Real-Time Production and Opportunistic Maintenance Under Cloud Manufacturing Paradigm.
IEEE Trans. Reliab., March, 2024
Novel Anchor Discrimination Learning for Physics-Informed Machine Degradation Modeling.
IEEE Trans. Reliab., March, 2024
Joint maintenance and spare part ordering from multiple suppliers for multicomponent systems using a deep reinforcement learning algorithm.
Reliab. Eng. Syst. Saf., January, 2024
Dynamic time scales ensemble framework for similarity-based remaining useful life prediction under multiple failure modes.
Eng. Appl. Artif. Intell., January, 2024
A Spatiotemporal Dynamic Wavelet Network for Infrared Thermography-Based Machine Prognostics.
IEEE Trans. Syst. Man Cybern. Syst., 2024
Discrimination- and Sparsity-Driven Weight-Oriented Optimization Model for Interpretable Initial Fault Detection and Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024
mmAcoustic: Full-Field Sound Source Localization, Identification, and Area-Selectable Sound Recovery via Millimeter-Wave Vibration Monitoring.
IEEE Trans. Instrum. Meas., 2024
Adaptive Fault Components Extraction by Using an Optimized Weights Spectrum Based Index for Machinery Fault Diagnosis.
IEEE Trans. Ind. Electron., 2024
Interpretable temporal degradation state chain based fusion graph for intelligent bearing fault detection.
Adv. Eng. Informatics, 2024
2023
Sparse Hierarchical Parallel Residual Networks Ensemble for Infrared Image Stream-Based Remaining Useful Life Prediction.
IEEE Trans. Ind. Informatics, October, 2023
IEEE Trans. Ind. Electron., September, 2023
Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions.
Reliab. Eng. Syst. Saf., June, 2023
Editorial for Special Issue: Machine Health Monitoring and Fault Diagnosis Techniques.
Sensors, April, 2023
IEEE Trans. Reliab., March, 2023
New Shapeness Property and Its Convex Optimization Model for Interpretable Machine Degradation Modeling.
IEEE Trans. Reliab., 2023
IEEE Trans. Instrum. Meas., 2023
Optimal Squared Wald Statistics-Based Methodology for On-Line Machine Condition Monitoring and Degradation Assessment.
IEEE Trans. Instrum. Meas., 2023
Guest Editorial Special Section for Third International Conference on Sensing, Measurement, and Data Analytics in the Era of Artificial Intelligence (ICSMD 2022).
IEEE Trans. Instrum. Meas., 2023
An Improved Data Privacy Diagnostic Framework for Multiple Machinery Components Data Based on Swarm Learning Algorithm.
IEEE Trans. Instrum. Meas., 2023
A Data Privacy Protection Diagnosis Framework for Multiple Machines Vibration Signals Based on a Swarm Learning Algorithm.
IEEE Trans. Instrum. Meas., 2023
A New Multisource Domain Bearing Fault Diagnosis Method With Adaptive Dual-Domain Obfuscation Weighting Strategy.
IEEE Trans. Instrum. Meas., 2023
A Lifelong Learning Method Based on Generative Feature Replay for Bearing Diagnosis With Incremental Fault Types.
IEEE Trans. Instrum. Meas., 2023
Optimal Noise Subtraction-Based Fault Components Extraction for Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
Easier Computational Approach of Optimized Weights and Its Extensions for Learning Interpretable Machine Fault Features.
IEEE Trans. Instrum. Meas., 2023
A Calibration-Based Hybrid Transfer Learning Framework for RUL Prediction of Rolling Bearing Across Different Machines.
IEEE Trans. Instrum. Meas., 2023
Acoustic Signals Recovering for Rubbing From Arbitrarily Structured Noise With Joint Iterative Probabilistic Sampling.
IEEE Trans. Instrum. Meas., 2023
Interpretable federated learning for machine condition monitoring: Interpretable average global model as a fault feature library.
Eng. Appl. Artif. Intell., 2023
A Multiscale Sparse Ensemble Network for Machine Prognostics Based on Infrared Image Streams.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
Generic Framework for Integration of First Prediction Time Detection With Machine Degradation Modelling from Frequency Domain.
IEEE Trans. Reliab., 2022
Progressive Opportunistic Maintenance Policies for Service-Outsourcing Network With Prognostic Updating and Dynamical Optimization.
IEEE Trans. Reliab., 2022
Integration of a Novel Knowledge-Guided Loss Function With an Architecturally Explainable Network for Machine Degradation Modeling.
IEEE Trans. Instrum. Meas., 2022
A New Adversarial Domain Generalization Network Based on Class Boundary Feature Detection for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
OSESgram: Data-Aided Method for Selection of Informative Frequency Bands for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Instrum. Meas., 2022
Adversarial Regressive Domain Adaptation Approach for Infrared Thermography-Based Unsupervised Remaining Useful Life Prediction.
IEEE Trans. Ind. Informatics, 2022
Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions.
IEEE Trans. Ind. Informatics, 2022
Fault Feature Extractor Based on Bootstrap Your Own Latent and Data Augmentation Algorithm for Unlabeled Vibration Signals.
IEEE Trans. Ind. Electron., 2022
Accelerated Stress Factors Based Nonlinear Wiener Process Model for Lithium-Ion Battery Prognostics.
IEEE Trans. Ind. Electron., 2022
IEEE Trans Autom. Sci. Eng., 2022
Technician Collaboration and Routing Optimization in Global Maintenance Scheduling for Multi-Center Service Networks.
IEEE Trans Autom. Sci. Eng., 2022
A reliability-and-cost-based framework to optimize maintenance planning and diverse-skilled technician routing for geographically distributed systems.
Reliab. Eng. Syst. Saf., 2022
Joint adaptive transfer learning network for cross-domain fault diagnosis based on multi-layer feature fusion.
Neurocomputing, 2022
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis.
CoRR, 2022
2021
Theoretical Investigations on Kurtosis and Entropy and Their Improvements for System Health Monitoring.
IEEE Trans. Instrum. Meas., 2021
Definition of Signal-to-Noise Ratio of Health Indicators and Its Analytic Optimization for Machine Performance Degradation Assessment.
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Instrum. Meas., 2021
Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions.
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Instrum. Meas., 2021
Theoretical and Experimental Investigations on Spectral Lp/Lq Norm Ratio and Spectral Gini Index for Rotating Machine Health Monitoring.
IEEE Trans Autom. Sci. Eng., 2021
Joint Optimization of Condition-Based Maintenance and Spare Parts Orders for Multi-Unit Systems with Dual Sourcing.
Reliab. Eng. Syst. Saf., 2021
Multi-stage fault diagnosis framework for rolling bearing based on OHF Elman AdaBoost-Bagging algorithm.
Neurocomputing, 2021
2020
Differential Enhancement Method for Robust and Accurate Heart Rate Monitoring via Microwave Vital Sign Sensing.
IEEE Trans. Instrum. Meas., 2020
Reliab. Eng. Syst. Saf., 2020
Constructing a health indicator for roller bearings by using a stacked auto-encoder with an exponential function to eliminate concussion.
Appl. Soft Comput., 2020
An Intelligent Deep Feature Learning Method With Improved Activation Functions for Machine Fault Diagnosis.
IEEE Access, 2020
Multi-source Unsupervised Domain Adaptation for Machinery Fault Diagnosis under Different Working Conditions.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020
2019
IEEE Access, 2019
Discovery of a Simplified Index Commonly Used in Various Algorithms for Quantification of Repetitive Transients.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019
2018
EEMD-Based Steady-State Indexes and Their Applications to Condition Monitoring and Fault Diagnosis of Railway Axle Bearings.
Sensors, 2018
Making EEMD more effective in extracting bearing fault features for intelligent bearing fault diagnosis by using blind fault component separation.
J. Intell. Fuzzy Syst., 2018
Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis.
Neurocomputing, 2018
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators.
IEEE Access, 2018
Robustness Evaluation of Extended and Unscented Kalman Filter for Battery State of Charge Estimation.
IEEE Access, 2018
2017
State Space Formulation of Nonlinear Vibration Responses Collected from a Dynamic Rotor-Bearing System: An Extension of Bearing Diagnostics to Bearing Prognostics.
Sensors, 2017
Prognostics of Li(NiMnCo)O<sub>2</sub>-based lithium-ion batteries using a novel battery degradation model.
Microelectron. Reliab., 2017
Microelectron. Reliab., 2017
Prognostics of Lithium-ion batteries based on state space modeling with heterogeneous noise variances.
Microelectron. Reliab., 2017
Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery.
IEEE Access, 2017
2016
Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Spherical Cubature Particle Filter.
IEEE Trans. Instrum. Meas., 2016
Novel Bayesian inference on optimal parameters of support vector machines and its application to industrial survey data classification.
Neurocomputing, 2016
2013
A Doppler Transient Model Based on the Laplace Wavelet and Spectrum Correlation Assessment for Locomotive Bearing Fault Diagnosis.
Sensors, 2013
A joint sparse wavelet coefficient extraction and adaptive noise reduction method in recovery of weak bearing fault features from a multi-component signal mixture.
Appl. Soft Comput., 2013