Higher density wavelet frames with symmetric low-pass and band-pass filters. - Yi Qin 004; Jiaxu Wang; Baoping Tang; Yongfang Mao (Signal Process., 2010)

A hybrid time-frequency method based on improved Morlet wavelet and auto terms window. - Wenyi Liu; Baoping Tang (Expert Syst. Appl., 2011)

Method for eliminating mode mixing of empirical mode decomposition based on the revised blind source separation. - Baoping Tang; Shaojiang Dong; Tao Song (Signal Process., 2012)

Life grade recognition method based on supervised uncorrelated orthogonal locality preserving projection and K-nearest neighbor classifier. - Feng Li; Jiaxu Wang; Baoping Tang; Daqing Tian (Neurocomputing, 2014)

Weak fault diagnosis of rotating machinery based on feature reduction with Supervised Orthogonal Local Fisher Discriminant Analysis. - Feng Li; Jiaxu Wang; Minking K. Chyu; Baoping Tang (Neurocomputing, 2015)

Multi-fault diagnosis for rotating machinery based on orthogonal supervised linear local tangent space alignment and least square support vector machine. - Zuqiang Su; Baoping Tang; Ziran Liu; Yi Qin 004 (Neurocomputing, 2015)

Bearing faults recognition based on the local mode decomposition morphological spectrum and optimized support vector machine. - Shaojiang Dong; Jun Wang; Baoping Tang; Xiangyang Xu; Juan Liu (URAI, 2016)

Simulation and testing of a non-linear ultrasonic system for testing the debonding of the adhesive layers of magnesium alloys. - Bingsheng Yan; Baoping Tang (URAI, 2016)

Adaptive signal decomposition based on wavelet ridge and its application. - Yi Qin 004; Baoping Tang; Yongfang Mao (Signal Process., 2016)

Quantum weighted gated recurrent unit neural network and its application in performance degradation trend prediction of rotating machinery. - Wang Xiang; Feng Li; Jiaxu Wang; Baoping Tang (Neurocomputing, 2018)

Quantum weighted long short-term memory neural network and its application in state degradation trend prediction of rotating machinery. - Feng Li; Wang Xiang; Jiaxu Wang; Xueming Zhou; Baoping Tang (Neural Networks, 2018)

Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes. - Minghang Zhao; Myeongsu Kang; Baoping Tang; Michael G. Pecht (IEEE Trans. Ind. Electron., 2018)

Adaptive Estimation of Instantaneous Angular Speed for Wind Turbine Planetary Gearbox Fault Detection. - Yi Wang 043; Baoping Tang; Lihua Meng; Bingchang Hou (IEEE Access, 2019)

An enhanced convolutional neural network with enlarged receptive fields for fault diagnosis of planetary gearboxes. - Yan Han; Baoping Tang; Lei Deng 008 (Comput. Ind., 2019)

Multiple Wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis. - Minghang Zhao; Myeongsu Kang; Baoping Tang; Michael G. Pecht (IEEE Trans. Ind. Electron., 2019)

Multiscale dynamic fusion prototypical cluster network for fault diagnosis of planetary gearbox under few labeled samples. - Biao Li; Baoping Tang; Lei Deng 008; Xiaoxia Yu (Comput. Ind., 2020)

Quantum recurrent encoder-decoder neural network for performance trend prediction of rotating machinery. - Yong Chen; Feng Li; Jiaxu Wang; Baoping Tang; Xueming Zhou (Knowl. Based Syst., 2020)

Transient Feature Extraction by the Improved Orthogonal Matching Pursuit and K-SVD Algorithm With Adaptive Transient Dictionary. - Yi Qin 004; Jingqiang Zou; Baoping Tang; Yi Wang 043; Haizhou Chen (IEEE Trans. Ind. Informatics, 2020)

Rolling Bearing Fault Detection of Civil Aircraft Engine Based on Adaptive Estimation of Instantaneous Angular Speed. - Yi Wang 043; Baoping Tang; Yi Qin 004; Tao Huang 010 (IEEE Trans. Ind. Informatics, 2020)

Deep Residual Shrinkage Networks for Fault Diagnosis. - Minghang Zhao; Shisheng Zhong; Xuyun Fu; Baoping Tang; Michael G. Pecht (IEEE Trans. Ind. Informatics, 2020)

Fault source location of wind turbine based on heterogeneous nodes complex network. - Kai Zhang 051; Baoping Tang; Lei Deng 008; Xiaoxia Yu; Jing Wei (Eng. Appl. Artif. Intell., 2021)

Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction. - Sheng Xiang; Yi Qin 004; Jun Luo 006; Huayan Pu; Baoping Tang (Reliab. Eng. Syst. Saf., 2021)

Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis. - Minghang Zhao; Shisheng Zhong; Xuyun Fu; Baoping Tang; Shaojiang Dong; Michael G. Pecht (IEEE Trans. Ind. Electron., 2021)

Self-Attention ConvLSTM and Its Application in RUL Prediction of Rolling Bearings. - Biao Li; Baoping Tang; Lei Deng 008; Minghang Zhao (IEEE Trans. Instrum. Meas., 2021)

A Relation-Based Semisupervised Method for Gearbox Fault Diagnosis With Limited Labeled Samples. - Hulin Ruan; Yi Wang 043; Xiaomeng Li 001; Yi Qin 004; Baoping Tang; Ping Wang 063 (IEEE Trans. Instrum. Meas., 2021)

Fault Diagnosis of Wind Turbine Gearbox Using a Novel Method of Fast Deep Graph Convolutional Networks. - Xiaoxia Yu; Baoping Tang; Kai Zhang 051 (IEEE Trans. Instrum. Meas., 2021)

Fault Detection of Wind Turbines by Subspace Reconstruction-Based Robust Kernel Principal Component Analysis. - Kai Zhang 051; Baoping Tang; Lei Deng 008; Xiaoxia Yu (IEEE Trans. Instrum. Meas., 2021)

Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks. - Minghang Zhao; Xuyun Fu; Yongjian Zhang; Linghui Meng 002; Baoping Tang (Adv. Eng. Informatics, 2022)

Distillation-enhanced fast neural architecture search method for edge-side fault diagnosis of wind turbine gearboxes. - Yanling Wu; Baoping Tang; Lei Deng 008; Qikang Li (Expert Syst. Appl., 2022)

Residual Gated Dynamic Sparse Network for Gearbox Fault Diagnosis Using Multisensor Data. - Honghai Huang; Baoping Tang; Jun Luo 006; Huayan Pu; Kai Zhang 051 (IEEE Trans. Ind. Informatics, 2022)

Dynamic Evaluation of Degradation Space Variation for Machine Condition Monitoring. - Guangyao Zhang; Yi Wang 043; Xiaomeng Li 001; Yi Qin 004; Baoping Tang (IEEE Trans. Instrum. Meas., 2022)

Deep time-frequency learning for interpretable weak signal enhancement of rotating machineries. - Jiakai Ding; Yi Wang 043; Yi Qin 004; Baoping Tang (Eng. Appl. Artif. Intell., 2023)

Deep Manifold Learning for Weak Signal Detection. - Xiaomeng Li 001; Yi Wang 043; Hulin Ruan; Baoping Tang; Yi Qin 004 (IEEE Trans. Instrum. Meas., 2023)

Multilayer Joint Optimization of Packet Size and Adaptive Transmission Scheduling of Wireless Sensor Networks for Mechanical Vibration Monitoring. - Chunhua Zhao; Baoping Tang; Yi Huang 015; Hao Fu (IEEE Internet Things J., 2023)

Time-Space Dynamic Incentives Topology Equilibrium Control for Mechanical Vibration Wireless Sensor Networks. - Hao Fu; Lei Deng 008; Baoping Tang; Chunhua Zhao; Yi Huang 015 (IEEE Trans. Ind. Informatics, 2023)

Edge Collaborative Compressed Sensing in Wireless Sensor Networks for Mechanical Vibration Monitoring. - Chunhua Zhao; Baoping Tang; Yi Huang 015; Lei Deng 008 (IEEE Trans. Ind. Informatics, 2023)

Variational eligibility trace meta-reinforcement recurrent network for residual life prediction of space rolling bearings. - Feng Li; Peixuan Jiang; Ling Luo; Baoping Tang; Yongchao Wang (Appl. Soft Comput., 2023)

Source-free domain adaptation framework for fault diagnosis of rotation machinery under data privacy. - Qikang Li; Baoping Tang; Lei Deng 008; Peng Zhu (Reliab. Eng. Syst. Saf., 2023)

Multilevel Adaptive Near-Lossless Compression in Edge Collaborative Wireless Sensor Networks for Mechanical Vibration Monitoring. - Chunhua Zhao; Baoping Tang; Lei Deng 008; Yi Huang 015; Qikang Li (IEEE Trans. Ind. Electron., 2023)

WTFormer: RUL prediction method guided by trainable wavelet transform embedding and lagged penalty loss. - Qichao Yang; Baoping Tang; Lei Deng 008; Peng Zhu; Zhen Ming (Adv. Eng. Informatics, 2024)

Simulation data-driven adaptive frequency filtering focal network for rolling bearing fault diagnosis. - Zhen Ming; Baoping Tang; Lei Deng 008; Qikang Li (Eng. Appl. Artif. Intell., 2024)

Global probability distribution structure-sparsity filter pruning for edge fault diagnosis in resource constrained wireless sensor networks. - Chunhua Zhao; Baoping Tang; Lei Deng 008; Yi Huang 015; Hao Tan (Eng. Appl. Artif. Intell., 2024)

Deep signal separation for adaptive estimation of instantaneous phase from vibration signals. - Yi Wang 043; Jiakai Ding; Haoran Sun; Yi Qin 004; Baoping Tang (Expert Syst. Appl., 2024)

A hybrid physics-corrected neural network for RUL prognosis under random missing data. - Qichao Yang; Baoping Tang; Lei Deng 008; Zhen Ming (Expert Syst. Appl., 2024)

Adaptive centroid prototype-based domain adaptation for fault diagnosis of rotating machinery without source data. - Qikang Li; Baoping Tang; Lei Deng 008; Qichao Yang; Peng Zhu (Reliab. Eng. Syst. Saf., 2024)

Adaptive Global Noise Suppression Deep Deconvolution for Weak Fault Signature Mining of Aero-Engine Accessory Casing. - Jiakai Ding; Yi Wang 043; Yi Qin 004; Baoping Tang (IEEE Trans. Instrum. Meas., 2024)

Fusion Interpolation Codec in Wireless Sensor Network for Mechanical Vibration Monitoring. - Hao Fu; Lei Deng 008; Baoping Tang; Keyu Zhu (IEEE Trans. Instrum. Meas., 2024)

Statistically Interpretable Health Indicator Based on Dynamic Interactions Decoupling for Gear Wear Assessment. - Guangyao Zhang; Yi Wang 043; Zehao Fan; Yi Qin 004; Baoping Tang (IEEE Trans. Instrum. Meas., 2024)

Missing-Measurements-Tolerant Compressed Sensing in Wireless Sensor Networks for Mechanical Vibration Monitoring. - Chunhua Zhao; Baoping Tang; Lei Deng 008 (IEEE Trans. Instrum. Meas., 2024)

Physics-informed multi-state temporal frequency network for RUL prediction of rolling bearings. - Shilong Yang; Baoping Tang; Weiying Wang; Qichao Yang; Cheng Hu (Reliab. Eng. Syst. Saf., 2024)

Slice-Oriented Signal Probability Distribution Measure for Wind Turbine Generator Bearing Condition Monitoring Under Variable Speed Conditions. - Guangyao Zhang; Yi Wang 043; Liang Guo 001; Yi Qin 004; Baoping Tang; Haidong Shao (IEEE Trans. Ind. Informatics, 2024)

Hardware-Resource-Constrained Neural Architecture Search for Edge-Side Fault Diagnosis of Wind-Turbine Gearboxes. - Yanling Wu; Baoping Tang; Lei Deng 008; Yizhe Shen (IEEE Trans. Ind. Electron., 2024)

RTFNN: A refined time-frequency neural network for interpretable intelligent diagnosis of aero-engine. - Jiakai Ding; Yi Wang; Yi Qin; Baoping Tang (Adv. Eng. Informatics, 2025)

Digital twin-enabled entropy regularized wavelet attention domain adaptation network for gearboxes fault diagnosis without fault data. - Peng Zhu; Lei Deng 008; Baoping Tang; Qichao Yang; Qikang Li (Adv. Eng. Informatics, 2025)

Ultra-low memory spatiotemporal decomposition recurrent neural networks for edge structural fault monitoring. - Hao Fu; Lei Deng 008; Baoping Tang; Shuaiwen Cui; Yuguang Fu (Appl. Soft Comput., 2025)

Digital twin-assisted fault diagnosis framework for rolling bearings under imbalanced data. - Zhen Ming; Baoping Tang; Lei Deng 008; Qichao Yang; Qikang Li (Appl. Soft Comput., 2025)

Improving cross-session motor imagery decoding performance with data augmentation and domain adaptation. - Shuai Guo 005; Yi Wang 043; Yuang Liu; Xin Zhang 044; Baoping Tang (Biomed. Signal Process. Control., 2025)

A cross-session non-stationary attention-based motor imagery classification method with critic-free domain adaptation. - Shuai Guo 005; Yi Wang 043; Xin Zhang 044; Baoping Tang (Biomed. Signal Process. Control., 2025)

Physics-informed cross layer temporal frequency transformer network for remaining useful life prediction of rolling bearings. - Runyan Zhao; Baoping Tang; Xiaolong Zhang; Lei Deng 008 (Eng. Appl. Artif. Intell., 2025)

Discriminative feature learning using class-aware and selective transfer adversarial network for partial cross-domain fault diagnosis of gearboxes. - Peng Zhu; Baoping Tang; Lei Deng 008; Qikang Li; Zihao Li (Eng. Appl. Artif. Intell., 2025)

Physics-informed causal learning network for fault diagnosis of rotating machinery under unseen operating conditions. - Yiyi Huang; Baoping Tang; Qichao Yang; Zhen Ming (Neurocomputing, 2025)

A hybrid dual-frequency-informed spider net for RUL prognosis with adaptive IDP detection and outlier correction. - Qichao Yang; Baoping Tang; Lei Deng 008; Xiaolong Zhang; Jinzhou Wu (Reliab. Eng. Syst. Saf., 2025)

SDMC-Net: A Lightweight and Deployable Fault Diagnosis Network Using Self-Distillation and Multiscale-Depth Convolution. - Qingjie Li; Yi Wang 043; Lihua Meng; Yi Qin 004; Baoping Tang (IEEE Trans. Instrum. Meas., 2025)

Measurements-Residuals Collaboration Sparse Reconstruction Under Missing Measurements in Wireless Sensor Networks for Mechanical Vibration Monitoring. - Chunhua Zhao; Baoping Tang; Lei Deng 008 (IEEE Internet Things J., 2025)

When Brain Foundation Model Meets Cauchy-Schwarz Divergence: A New Framework for Cross-Subject Motor Imagery Decoding. - Jinzhou Wu; Baoping Tang; Qikang Li; Yi Wang; Cheng Li; Shujian Yu (CoRR, 2025)

Neural Networks Micro Memory Control Strategy for Mechanical Faults Edge Recognition. - Hao Fu; Lei Deng 008; Baoping Tang; Shuaiwen Cui; Yuguang Fu (IEEE Trans. Ind. Informatics, 2025)