Baoping Tang

发表

Adaptive tacho information estimation for surveillance of rotatory machine under nonstationary conditions

Yi Wang, Yi Qin, Bingchang Hou, 2019 .

A novel fusion approach of deep convolution neural network with auto-encoder and its application in planetary gearbox fault diagnosis

Baoping Tang, Fafa Chen, Lili Liu, 2020 .

Deep Residual Shrinkage Networks for Fault Diagnosis

Michael Pecht, Shisheng Zhong, Baoping Tang, 2020, IEEE Transactions on Industrial Informatics.

Condition monitoring of wind turbines based on spatio-temporal fusion of SCADA data by convolutional neural networks and gated recurrent units

Lei Deng, Wenyi Liu, Baoping Tang, 2020 .

Quantum recurrent encoder-decoder neural network for performance trend prediction of rotating machinery

Jiaxu Wang, Xueming Zhou, Yong Chen, 2020, Knowl. Based Syst..

Fuzzy Analytic Hierarchy Process-Based Balanced Topology Control of Wireless Sensor Networks for Machine Vibration Monitoring

Lei Deng, Yi Huang, Baoping Tang, 2020, IEEE Sensors Journal.

Rotating Machine Fault Diagnosis Based on Optimal Morphological Filter and Local Tangent Space Alignment

Shaojiang Dong, Xiangyang Xu, Baoping Tang, 2015 .

Deep balanced domain adaptation neural networks for fault diagnosis of planetary gearboxes with limited labeled data

Yi Wang, Lei Deng, Baoping Tang, 2020 .

A hybrid time-frequency method based on improved Morlet wavelet and auto terms window

Wenyi Liu, Baoping Tang, B. Tang, 2011, Expert Syst. Appl..

Fault diagnosis for a wind turbine transmission system based on manifold learning and Shannon wavelet support vector machine

Lei Deng, Feng Li, Tao Song, 2014 .

Time–frequency interpretation of multi-frequency signal from rotating machinery using an improved Hilbert–Huang transform

Baoping Tang, Yan Zhang, Xin Xiao, 2016 .

On-chip order tracking method using wireless sensor networks based on hardware cross-layer design

Lei Deng, Baoping Tang, Yan Han, 2019 .

Status and problems of wind turbine structural health monitoring techniques in China

Wenyi Liu, Yonghua Jiang, Baoping Tang, 2010 .

Simulation and testing of a non-linear ultrasonic system for testing the debonding of the adhesive layers of magnesium alloys

Baoping Tang, Bingsheng Yan, 2016, URAI.

Research on mechanical measurement-oriented intelligent virtual controls

Baoping Tang, 2004 .

A tacholess order tracking method for wind turbine planetary gearbox fault detection

Yi Wang, Yi Qin, Yuhang Chen, 2019, Measurement.

Fault diagnosis of planetary gearbox using a novel semi-supervised method of multiple association layers networks

Yi Qin, Lei Deng, Kai Zhang, 2019, Mechanical Systems and Signal Processing.

Research on Virtual Instrument for Wavelet Transform

Baoping Tang, Aijun Yin, Fabin Cheng, 2005, 2005 IEEE Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications.

Multiple Wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis

Myeongsu Kang, Michael Pecht, Baoping Tang, 2019, IEEE Transactions on Industrial Electronics.

Method for eliminating mode mixing of empirical mode decomposition based on the revised blind source separation

Shaojiang Dong, Tao Song, Baoping Tang, 2012, Signal Process..

Bluetooth-based distributed measurement system

Zhuo Chen, Baoping Tang, Xiaofeng Qin, 2007 .

Research on time-frequency analyzing theory and system

Baoping Tang, Shuren Qin, Yuebo Ji, 2002, International Conference on Vibration Measurements by Laser Techniques: Advances and Applications.

Multiple wavelet regularized deep residual networks for fault diagnosis

Michael Pecht, Lei Deng, Baoping Tang, 2020 .

Adaptive Estimation of Instantaneous Angular Speed for Wind Turbine Planetary Gearbox Fault Detection

Yi Wang, Bingchang Hou, Baoping Tang, 2019, IEEE Access.

Hybrid Computed Order Tracking Method Based on Angular Acceleration

Baoping Tang, 2008 .

A divide-and-compress lossless compression scheme for bearing vibration signals in wireless sensor networks

Jiaxu Wang, Lei Deng, Qingqing Huang, 2015 .

Quantum weighted long short-term memory neural network and its application in state degradation trend prediction of rotating machinery

Jiaxu Wang, Feng Li, Xueming Zhou, 2018, Neural Networks.

Pattern recognition of a sensitive feature set based on the orthogonal neighborhood preserving embedding and adaboost_SVM algorithm for rolling bearing early fault diagnosis

Baoping Tang, Fafa Chen, Baojia Chen, 2020, Measurement Science and Technology.

Weak fault diagnosis of rotating machinery based on feature reduction with Supervised Orthogonal Local Fisher Discriminant Analysis

Jiaxu Wang, Feng Li, Baoping Tang, 2015, Neurocomputing.

Bearing faults recognition based on the local mode decomposition morphological spectrum and optimized support vector machine

Jun Wang, Shaojiang Dong, Juan Liu, 2016, 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).

Life grade recognition method based on supervised uncorrelated orthogonal locality preserving projection and K-nearest neighbor classifier

Jiaxu Wang, Feng Li, Baoping Tang, 2014, Neurocomputing.

M-band flexible wavelet transform and its application to the fault diagnosis of planetary gear transmission systems

Yi Wang, Yi Qin, Baoping Tang, 2019 .

Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes

Myeongsu Kang, Michael G. Pecht, Baoping Tang, 2018, IEEE Transactions on Industrial Electronics.

Transient Feature Extraction by the Improved Orthogonal Matching Pursuit and K-SVD Algorithm With Adaptive Transient Dictionary

Yi Qin, Yi Wang, Baoping Tang, 2020, IEEE Transactions on Industrial Informatics.

One-dimensional fully decoupled networks for fault diagnosis of planetary gearboxes

Lei Deng, Baoping Tang, Xu Chang, 2020 .

Study on virtual instrument developing system based on intelligent virtual control

Baoping Tang, Fabin Cheng, Shuren Qin, 2005 .

High accuracy synchronous acquisition algorithm of multi-hop sensor networks for machine vibration monitoring

Lei Deng, Xin Xiao, Baoping Tang, 2017 .

RESEARCH ON INTEGRATED FRAMEWORK OF QIN'S INTELLIGENT VIRTUAL CONTROLS BASED ON SOFTWARE ARCHITECTURE

Baoping Tang, 2003 .

Multi-fault diagnosis for rotating machinery based on orthogonal supervised linear local tangent space alignment and least square support vector machine

Yi Qin, Baoping Tang, Zuqiang Su, 2015, Neurocomputing.

Multi-level wavelet packet fusion in dynamic ensemble convolutional neural network for fault diagnosis

Yan Han, Lei Deng, Baoping Tang, 2018, Measurement.

Multi-fault diagnosis study on roller bearing based on multi-kernel support vector machine with chaotic particle swarm optimization

Li Li, Baoping Tang, Fafa Chen, 2014 .

A novel fault diagnosis model for gearbox based on wavelet support vector machine with immune genetic algorithm

Baoping Tang, Fafa Chen, Renxiang Chen, 2013 .

Research of problems on realizing direct algorithm of wavelet transform

Baoping Tang, 2003 .

The order tracking of rotating machinery based on instantaneous frequency estimation

Yu Guo, Baoping Tang, Shuren Qin, 2002, International Conference on Vibration Measurements by Laser Techniques: Advances and Applications.

Development of high synchronous acquisition accuracy wireless sensor network for machine vibration monitoring

Lei Deng, Qingqing Huang, Baoping Tang, 2015 .

Quantum weighted gated recurrent unit neural network and its application in performance degradation trend prediction of rotating machinery

Jiaxu Wang, Feng Li, Wang Xiang, 2018, Neurocomputing.

An enhanced convolutional neural network with enlarged receptive fields for fault diagnosis of planetary gearboxes

Yan Han, Lei Deng, Baoping Tang, 2019, Comput. Ind..

Bearing degradation state recognition based on kernel PCA and wavelet kernel SVM

Shaojiang Dong, Dihua Sun, Baoping Tang, 2015 .

Wind turbine fault diagnosis based on Morlet wavelet transformation and Wigner-Ville distribution

Wenyi Liu, Baoping Tang, Tao Song, 2010 .

Fault Diagnosis of Wind Turbine Gearbox Using a Novel Method of Fast Deep Graph Convolutional Networks

Baoping Tang, Xiaoxia Yu, Kai Zhang, 2021, IEEE Transactions on Instrumentation and Measurement.

Multi-layer gated temporal convolution network for residual useful life prediction of rotating machinery

Baoping Tang, Feng Li, Yangyang Cheng, 2021 .

Deep transient feature learning for weak vibration signal detection

Yi Qin, Yi Wang, Baoping Tang, 2021, Measurement.

A hybrid attention improved ResNet based fault diagnosis method of wind turbines gearbox

Baoping Tang, Kai Zhang, Lei Deng, 2021, Measurement.

Path Perception Synchronization Trigger Method for Dual Mode Multiplexing Mechanical Vibration Wireless Sensor Networks

Baoping Tang, Lei Deng, Fu Hao, 2021, IEEE Access.

Fault Detection of Wind Turbines by Subspace Reconstruction-Based Robust Kernel Principal Component Analysis

Baoping Tang, Xiaoxia Yu, Kai Zhang, 2021, IEEE Transactions on Instrumentation and Measurement.

Self-Attention ConvLSTM and Its Application in RUL Prediction of Rolling Bearings

Baoping Tang, Lei Deng, Minghang Zhao, 2021, IEEE Transactions on Instrumentation and Measurement.

A Relation-Based Semisupervised Method for Gearbox Fault Diagnosis With Limited Labeled Samples

Yi Qin, Yi Wang, Baoping Tang, 2021, IEEE Transactions on Instrumentation and Measurement.

Fault source location of wind turbine based on heterogeneous nodes complex network

Baoping Tang, Xiaoxia Yu, Kai Zhang, 2021, Eng. Appl. Artif. Intell..

Improved discrete Fourier transform algorithm for harmonic analysis of rotor system

Baoping Tang, Jie Zhao, B. Tang, 2016 .

Fault diagnosis method based on incremental enhanced supervised locally linear embedding and adaptive nearest neighbor classifier

Baoping Tang, Zuqiang Su, Jinghua Ma, 2014 .

A texture-based rolling bearing fault diagnosis scheme using adaptive optimal kernel time frequency representation and uniform local binary patterns

Baoping Tang, Junyang Li, Jiaxu Wang, 2017 .

Research on instantaneous feature of non-stationary signal based on hilbert-huang transform and wavelet packet decomposition

Baoping Tang, Fabin Cheng, Qiyuan He, 2006, 2006 8th international Conference on Signal Processing.

Vibration component separation by iteratively using stochastic resonance with different frequency-scale ratios

Yi Qin, Baoping Tang, Yongfang Mao, 2016 .

Operational modal parameter identification based on PCA-CWT

Baoping Tang, Guowen Zhang, B. Tang, 2019, Measurement.

Multicomponent decomposition by wavelet modulus maxima and synchronous detection

Yi Qin, Baoping Tang, Yongfang Mao, 2017 .

A new method for multicomponent signal decomposition based on self-adaptive filtering

Yi Qin, Baoping Tang, Xiao Ke, 2011 .

Machinery running state identification based on discriminant semi-supervised local tangent space alignment for feature fusion and extraction

Yi Zhang, Yonghua Jiang, Baoping Tang, 2017 .

Vibration signal component separation by iteratively using basis pursuit and its application in mechanical fault detection

Yi Qin, Baoping Tang, Yongfang Mao, 2013 .

An improved stochastic subspace identification for operational modal analysis

Baoping Tang, Guangwu Tang, Guowen Zhang, 2012 .

Bearing performance degradation assessment based on time-frequency code features and SOM network

Baoping Tang, Yan Zhang, Lei Deng, 2017 .

Fault diagnosis of rolling element bearing based on S transform and gray level co-occurrence matrix

Baoping Tang, Minghang Zhao, Qian Tan, 2015 .

Rotating machine fault diagnosis using dimension reduction with linear local tangent space alignment

Baoping Tang, Feng Li, B. Tang, 2013 .

Feature Extraction Method of Rolling Bearing Fault Based on Singular Value Decomposition-morphology Filter and Empirical Mode Decomposition

Baoping Tang, 2010 .

A Novel Method for Mechanical Fault Diagnosis Based on Variational Mode Decomposition and Multikernel Support Vector Machine

Baoping Tang, Lv Zhongliang, Chuande Zhou, 2016 .

Life grade recognition of rotating machinery based on Supervised Orthogonal Linear Local Tangent Space Alignment and Optimal Supervised Fuzzy C-Means Clustering

Baoping Tang, Minking K. Chyu, Feng Li, 2015 .

A Fault Feature Extraction Method for Rolling Bearing Based on Pulse Adaptive Time-Frequency Transform

Baoping Tang, Jie Zhao, B. Tang, 2016 .