Baoping Tang
Orcid: 0000-0002-8286-8860
According to our database1,
Baoping Tang
authored at least 42 papers
between 2010 and 2024.
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Bibliography
2024
Slice-Oriented Signal Probability Distribution Measure for Wind Turbine Generator Bearing Condition Monitoring Under Variable Speed Conditions.
IEEE Trans. Ind. Informatics, April, 2024
Physics-informed multi-state temporal frequency network for RUL prediction of rolling bearings.
Reliab. Eng. Syst. Saf., February, 2024
Statistically Interpretable Health Indicator Based on Dynamic Interactions Decoupling for Gear Wear Assessment.
IEEE Trans. Instrum. Meas., 2024
2023
Multilevel Adaptive Near-Lossless Compression in Edge Collaborative Wireless Sensor Networks for Mechanical Vibration Monitoring.
IEEE Trans. Ind. Electron., November, 2023
Source-free domain adaptation framework for fault diagnosis of rotation machinery under data privacy.
Reliab. Eng. Syst. Saf., October, 2023
Variational eligibility trace meta-reinforcement recurrent network for residual life prediction of space rolling bearings.
Appl. Soft Comput., September, 2023
Edge Collaborative Compressed Sensing in Wireless Sensor Networks for Mechanical Vibration Monitoring.
IEEE Trans. Ind. Informatics, August, 2023
Time-Space Dynamic Incentives Topology Equilibrium Control for Mechanical Vibration Wireless Sensor Networks.
IEEE Trans. Ind. Informatics, May, 2023
Multilayer Joint Optimization of Packet Size and Adaptive Transmission Scheduling of Wireless Sensor Networks for Mechanical Vibration Monitoring.
IEEE Internet Things J., April, 2023
Deep time-frequency learning for interpretable weak signal enhancement of rotating machineries.
Eng. Appl. Artif. Intell., 2023
2022
IEEE Trans. Instrum. Meas., 2022
Residual Gated Dynamic Sparse Network for Gearbox Fault Diagnosis Using Multisensor Data.
IEEE Trans. Ind. Informatics, 2022
Distillation-enhanced fast neural architecture search method for edge-side fault diagnosis of wind turbine gearboxes.
Expert Syst. Appl., 2022
Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks.
Adv. Eng. Informatics, 2022
2021
Fault Detection of Wind Turbines by Subspace Reconstruction-Based Robust Kernel Principal Component Analysis.
IEEE Trans. Instrum. Meas., 2021
Fault Diagnosis of Wind Turbine Gearbox Using a Novel Method of Fast Deep Graph Convolutional Networks.
IEEE Trans. Instrum. Meas., 2021
A Relation-Based Semisupervised Method for Gearbox Fault Diagnosis With Limited Labeled Samples.
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Instrum. Meas., 2021
Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis.
IEEE Trans. Ind. Electron., 2021
Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction.
Reliab. Eng. Syst. Saf., 2021
Eng. Appl. Artif. Intell., 2021
2020
IEEE Trans. Ind. Informatics, 2020
Rolling Bearing Fault Detection of Civil Aircraft Engine Based on Adaptive Estimation of Instantaneous Angular Speed.
IEEE Trans. Ind. Informatics, 2020
Transient Feature Extraction by the Improved Orthogonal Matching Pursuit and K-SVD Algorithm With Adaptive Transient Dictionary.
IEEE Trans. Ind. Informatics, 2020
Quantum recurrent encoder-decoder neural network for performance trend prediction of rotating machinery.
Knowl. Based Syst., 2020
Multiscale dynamic fusion prototypical cluster network for fault diagnosis of planetary gearbox under few labeled samples.
Comput. Ind., 2020
2019
IEEE Trans. Ind. Electron., 2019
An enhanced convolutional neural network with enlarged receptive fields for fault diagnosis of planetary gearboxes.
Comput. Ind., 2019
Adaptive Estimation of Instantaneous Angular Speed for Wind Turbine Planetary Gearbox Fault Detection.
IEEE Access, 2019
2018
Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes.
IEEE Trans. Ind. Electron., 2018
Quantum weighted long short-term memory neural network and its application in state degradation trend prediction of rotating machinery.
Neural Networks, 2018
Quantum weighted gated recurrent unit neural network and its application in performance degradation trend prediction of rotating machinery.
Neurocomputing, 2018
2016
Signal Process., 2016
Simulation and testing of a non-linear ultrasonic system for testing the debonding of the adhesive layers of magnesium alloys.
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016
Bearing faults recognition based on the local mode decomposition morphological spectrum and optimized support vector machine.
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016
2015
Multi-fault diagnosis for rotating machinery based on orthogonal supervised linear local tangent space alignment and least square support vector machine.
Neurocomputing, 2015
Weak fault diagnosis of rotating machinery based on feature reduction with Supervised Orthogonal Local Fisher Discriminant Analysis.
Neurocomputing, 2015
2014
Life grade recognition method based on supervised uncorrelated orthogonal locality preserving projection and K-nearest neighbor classifier.
Neurocomputing, 2014
2012
Method for eliminating mode mixing of empirical mode decomposition based on the revised blind source separation.
Signal Process., 2012
2011
A hybrid time-frequency method based on improved Morlet wavelet and auto terms window.
Expert Syst. Appl., 2011
2010
Signal Process., 2010