佟庆彬｜北京交通大学｜学者主页

2026

Wavelet packet energy embedded autoencoder with dynamic weighting strategy for fault diagnosis under unknown working conditions

Feiyu Lu, Qingbin Tong, Xuedong Jiang, Ziwei Feng, Ruifang Liu, Jianjun Xu, Jingyi Huo

Reliability Engineering & System Safety，Vol. 265

DOI

2026

Physical Feature Embedding and Cross-Dimensional Collaborative Attention for Small-Sample Transfer Fault Diagnosis

Yichi Zhang, Qingbin Tong

International Conference on Intelligent Communications and Computing (ICICC)

DOI

2026

Attention-guided wavelet packet energy autoencoder with distribution consistency for single-source domain generalization fault diagnosis

Ziwei Feng, Qingbin Tong, Yaqian He, Feiyu Lu, B. C. Wang, Xuedong Jiang, Shouxin Du, Jilong Zhao, Ruize Zhu

Measurement Science and Technology

DOI

2026

A Diffusion-Based Data Augmentation Framework for Few-Shot Fault Diagnosis of Intelligent High-Speed Train Components

Jianjun Xu, Qingbin Tong, Ruize Zhu, Shouxin Du, Jilong Zhao, Xuedong Jiang, B. C. Wang

Sensors

DOI

2026

A fault diagnosis method with continuous frequency-band indicator embedding and class-aware interpretable feature weighting

Shouxin Du, Qingbin Tong, Xuedong Jiang, B. C. Wang, Xin Du, Jianjun Xu, Jingyi Huo

Structural Health Monitoring

DOI

2026

Adaptive conditional kernel Bures metric learning for bearing cross-device fault diagnosis under small and unbalanced samples

Ziwei Feng, Qingbin Tong, Feiyu Lu, B. C. Wang, Xuedong Jiang, Shouxin Du, Ruize Zhu, Jilong Zhao

Measurement Science and Technology

DOI

2026

A single-domain generalization framework integrating Zernike-Based detail blur feature extraction and Mamba global attention mechanism

Qingbin Tong, Jilong Zhao, Xuedong Jiang, Baohua Wang, Feiyu Lu, Shouxin Du, Xin Du, Jiayi Xu, Jingyi Huo

Mechanical Systems and Signal Processing

DOI

2026

Dynamic Mask Cepstrum-Enhancement Network (DMC-EN): A dual-task physics-guided method based on cyclostationary features of bearing signals

Longhui Li, Qingbin Tong, Xuedong Jiang, Baohua Wang, Jianjun Xu, Jingyi Huo

Transactions of the Institute of Measurement and Control

DOI

2026

ACS-DM: Adaptive conditional sampling diffusion model for few-shot machinery fault diagnosis

Qingbin Tong, Ruize Zhu, Feiyu Lu, B. C. Wang, Shouxin Du, Xuedong Jiang, Jianjun Xu, Jingyi Huo, Xin Du

Journal of Vibration and Control

DOI

2026

A time-frequency interpretable framework for bearing fault diagnosis via global channel-region information interaction and weight-CAM

Shouxin Du, Qingbin Tong, Xuedong Jiang, B. C. Wang, Fang Liu, Xin Du, Jianjun Xu, Jingyi Huo

Neurocomputing

DOI

2025

导风坡圆环对牵引电机热点温度的靶向抑制及量化评估

王宇，佟庆彬，曹君慈，贾博

《电机与控制学报》

DOI

2025

Adaptive single-source open domain generalization network: a novel physical information fusion framework for fault diagnosis based on physically embedded autoencoder and adaptive open-set feature separation

Feiyu Lu, Qingbin Tong, Xuedong Jiang, Jianjun Xu, Xin Du, Jingyi Huo, Zengqiang Ma

Advanced Engineering Informatics

DOI

2025

A novel deep dynamic hybrid domain adaptation network with physical information enhancement for cross-machine fault diagnosis

Feiyu Lu, Qingbin Tong, Xuedong Jiang, Ziwei Feng, Jianjun Xu, Jingyi Huo, Zengqiang Ma

Nondestructive Testing And Evaluation

DOI

2024

DPICEN: Deep physical information consistency embedded network for bearing fault diagnosis under unknown domain

Feiyu Lu, Qingbin Tong, Xuedong Jiang, Ziwei Feng, Ruifang Liu, Jianjun Xu, Jingyi Huo

Reliability Engineering & System Safety，Vol. 252

DOI

2024

一种基于条件度量迁移学习的机械故障诊断可解释方法

路飞宇，佟庆彬，姜学东，徐建军，霍静怡

《仪器仪表学报》

DOI

2024

基于Bo-BiLSTM网络的IGBT老化失效预测方法

万庆祝，于佳松，佟庆彬，闵现娟

《电气技术》

2024

Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples

Feiyu Lu, Qingbin Tong, Xuedong Jiang, Xin Du, Jianjun Xu, Jingyi Huo

Computers in Industry

DOI

2024

Envelope spectrum neural network with adaptive domain weight harmonization for intelligent bearing fault diagnosis under cross-machine scenarios

Feiyu Lu, Qingbin Tong, Xuedong Jiang, Shouxin Du, Jianjun Xu, Jingyi Huo, Ziheng Zhang

Advanced Engineering Informatics

DOI

2024

Deep Multilayer Sparse Regularization Time- Varying Transfer Learning Networks With Dynamic Kullback–Leibler Divergence Weights for Mechanical Fault Diagnosis

Feiyu Lu, Qingbin Tong, Xuedong Jiang, Ziwei Feng, Jianjun Xu, Jingyi Huo

IEEE Transactions on Industrial Informatics

DOI

2024

A Novel Adaptive Deep Belief Network for Bearing Fault Diagnosis in Variable Working Conditions Based on Salp Swarm Algorithm Under Small Sample

Qingbin Tong, Xin Qi, Xuedong Jiang, Feiyu Lu, Ziwei Feng, Jianjun Xu

DOI

2024

Towards multi-scene learning: A novel cross-domain adaptation model based on sparse filter for traction motor bearing fault diagnosis in high-speed EMU

Feiyu Lu, Qingbin Tong, Jianjun Xu, Ziwei Feng, Xin Wang, Jingyi Huo, Qingzhu Wan

Advanced Engineering Informatics

DOI

2024

Deep Reconstruction Transfer Convolutional Neural Network for Rolling Bearing Fault Diagnosis

Ziwei Feng, Qingbin Tong, Xuedong Jiang, Feiyu Lu, Xin Du, Jianjun Xu, Jingyi Huo

Sensors

DOI

2024

A deep targeted transfer network with clustering pseudo-label learning for fault diagnosis across different Machines

Feiyu Lu, Qingbin Tong, Xuedong Jiang, Ziwei Feng, Jianjun Xu, Xin Wang, Jingyi Huo

Mechanical Systems and Signal Processing

DOI

2024

Interpretable parallel channel encoding convolutional neural network for bearing fault diagnosis

Qingbin Tong, Shouxin Du, Xuedong Jiang, Feiyu Lu, Ziwei Feng, Ruifang Liu, Jianjun Xu, Jingyi Huo

Measurement Science and Technology

DOI

2023

Life Prediction of Rolling Bearing Based on Bidirectional GRU

Zhongxin Gong, Qingbin Tong, Feiyu Lu, Ziwei Feng, Qingzhu Wan, Guoping An, Junci Cao, Tao Guo

Lecture notes in electrical engineering

DOI

2023

Research on Life Prediction Method of Motor Bearings

Shaomeng Pang, Qingbin Tong, Feiyu Lu, Ziwei Feng, Qingzhu Wan, Guoping An, Junci Cao, Tao Guo

Lecture notes in electrical engineering

DOI

2022

Unbalanced Bearing Fault Diagnosis Under Various Speeds Based on Spectrum Alignment and Deep Transfer Convolution Neural Network

Feiyu Lu, Qingbin Tong, Ziwei Feng, Qingzhu Wan

IEEE Transactions on Industrial Informatics

DOI

2022

A New De-Noising Method Based on Enhanced Time-Frequency Manifold and Kurtosis-Wavelet Dictionary for Rolling Bearing Fault Vibration Signal

Qingbin Tong, Ziyu Liu, Feiyu Lu, Ziwei Feng, Qingzhu Wan

Sensors

DOI

2022

A Novel Method for Fault Diagnosis of Bearings with Small and Imbalanced Data Based on Generative Adversarial Networks

Qingbin Tong, Feiyu Lu, Ziwei Feng, Qingzhu Wan, Guoping An, Junci Cao, Tao Guo

Applied Sciences

DOI

2022

Explainable 1DCNN with demodulated frequency features method for fault diagnosis of rolling bearing under time-varying speed conditions

Feiyu Lu, Qingbin Tong, Ziwei Feng, Qingzhu Wan, Guoping An, Yilei Li, Meng Wang, Junci Cao, Tao Guo

Measurement Science and Technology

DOI

2022

IGBT Life Prediction Based on CNN1D-LSTM Hybrid Model

Qiuli Liu, Qingbin Tong, Lei Wang, Guoping An

Lecture notes in electrical engineering

DOI

2022

Finite Element Analysis of the Stress and Life of Cylindrical Bearing Roller of High-Speed Railway Motor

Guang Dong Han, Qingbin Tong, Guoping An

Lecture notes in electrical engineering

DOI

2022

The Fault Diagnosis Method of Rolling Bearing Based on CEEMDAN

Libo Liu, Qingbin Tong

Lecture notes in electrical engineering

DOI

2021

Research on Optimization Algorithm of auto-encoding neural network applied to rolling bearing fault diagnosis

Shi Shi, Qingbin Tong

Journal of Physics Conference Series

DOI

2021

A Parameter-Optimized Variational Mode Decomposition Investigation for Fault Feature Extraction of Rolling Element Bearings

Guoping An, Qingbin Tong, Yanan Zhang, Ruifang Liu, Weili Li, Junci Cao, Yuyi Lin, Qiang Wang, Ying Zhu, Xiaowen Pu

Mathematical Problems in Engineering

DOI

2021

An Improved Variational Mode Decomposition and Its Application on Fault Feature Extraction of Rolling Element Bearing

Guoping An, Qingbin Tong, Yanan Zhang, Ruifang Liu, Weili Li, Junci Cao, Yuyi Lin

Energies

DOI

2020

Application of t-Distribution Stochastic Neighbor Embedding (t-SNE) And VMD In Fault Feature Extraction

Jing Li Du, Qingbin Tong

International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)

DOI

2020

Research on Fault Diagnosis Method of Rolling Bearing Based on Resonance Sparse Decomposition

Xiuyong Zhao, Qingbin Tong

International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)

DOI

2019

Rolling bearing fault diagnosis method based on local tangent space arrangement and VMD decomposition

Yanan Zhang, Qingbin Tong

IOP Conference Series Materials Science and Engineering

DOI

2019

On-line prediction remaining useful life for ball bearings via grey NARX

Feng Liu, Qiming Niu, Qingbin Tong, Junci Cao, Yi-Huang Zhang

Journal of Vibroengineering

DOI

2018

基于RSGWPT-LCD的轴承信号故障特征提取及模式识别

王保华，佟庆彬，胡海，曹君慈，韩宝珠，卢艳霞，张卫东，朱颖

《振动、测试与诊断》

2018

Feature Extraction Method for Condition Monitoring of Rolling Element Bearings Based on Dual-Tree Complex Wavelet Packet Transform and VMD

Qiming Niu, Qingbin Tong, Junci Cao, Feng Liu, Yihuang Zhang

Wireless Personal Communications

DOI

2018

Health condition assessment of ball bearings using TOSELM

Qiming Niu, Feng Liu, Qingbin Tong, Junci Cao, Yi-Huang Zhang

DOI

2017

A fault diagnosis approach for rolling element bearings based on dual-tree complex wavelet packet transform-improved intrinsic time-scale decomposition, singular value decomposition, and online sequential extreme learning machine

Qingbin Tong, Junci Cao, Baozhu Han, Deli Wang, Yuyi Lin, Weidong Zhang, Jianqiang Wang

Advances in Mechanical Engineering

DOI

2017

A Fault Diagnosis Approach for Rolling Element Bearings Based on RSGWPT-LCD Bilayer Screening and Extreme Learning Machine

Qingbin Tong, Junci Cao, Baozhu Han, Xiaodong Zhang, Zhengwei Nie, Jiamin Wang, Yuyi Lin, Weidong Zhang

IEEE Access

DOI

2016

基于RSGWPT和EEMD的滚动轴承故障诊断

王德丽，韩宝珠，佟庆彬

《电子设计工程》

2016

Multi-fault diagnosis for rolling element bearings based on intrinsic mode function screening and optimized least squares support vector machine

Qingbin Tong, Bao-zhu Han, Yu-Yi Lin, Weidong Zhang

DOI

2016

Sparse decomposition based on ADMM dictionary learning for fault feature extraction of rolling element bearing

Qingbin Tong, Zhanlong Sun, Zhengwei Nie, Yu-Yi Lin, Junci Cao

DOI

2013

精密谐波齿轮减速器传动误差分析

万庆祝，陆志刚，王科，董旭柱，段卫国，佟庆彬，李桂斌

《仪表技术与传感器》

2013

Harmonic Gear Reducer Transmission Error Analysis and Detection

Qingbin Tong, Chao-Qun Jiao, Tao Ning, Xiao-Dong Zhang

DOI

2011

基于视觉图像的二次曲线特征参数精密测量方法

佟庆彬

《仪器仪表学报》

DOI

2011

高速旋转机械径向振动检测系统关键技术研究

佟庆彬，马惠萍，刘丽华，张晓冬，李桂斌

《仪器仪表学报》

DOI

2011

Measurements of radiation vibrations of turbomachine blades using an optical-fiber displacement-sensing system

Qingbin Tong, Hui-Ping Ma, Lihua Liu, Xiao-Dong Zhang, Gui-Bin Li

DOI

2010

基于激光视觉的石英摆片厚度精密测量方法

佟庆彬，张晓冬，丁振良，袁峰

《仪器仪表学报》

2009

基于变结构元与参数映射的石英摆片参数测量

佟庆彬，王立新，丁振良，袁峰，曲洪波

《哈尔滨工程大学学报》

2009

基于图像的小尺寸零件圆参数亚像素定位算法

佟庆彬，丁振良，董玉冰，袁峰

《吉林大学学报(工学版)》

2008

石英摆片视觉测量系统亚像素精度标定方法

佟庆彬，丁振良，袁峰

《仪表技术与传感器》

2008

基于视觉图像的石英摆片参数精密测量方法

佟庆彬，丁振良，王艳，袁峰

《光电子·激光》

2008

MEMS惯性测量组合初始标定方法研究

陈杰春，丁振良，袁峰，佟庆彬，艾莉莉

《南京理工大学学报》

2007

一种标定陀螺仪的新方法

陈杰春，丁振良，袁峰，宋建辉，佟庆彬

《哈尔滨工程大学学报》

精选作品

期刊论文

Wavelet packet energy embedded autoencoder with dynamic weighting strategy for fault diagnosis under unknown working conditions

Physical Feature Embedding and Cross-Dimensional Collaborative Attention for Small-Sample Transfer Fault Diagnosis

Attention-guided wavelet packet energy autoencoder with distribution consistency for single-source domain generalization fault diagnosis

A Diffusion-Based Data Augmentation Framework for Few-Shot Fault Diagnosis of Intelligent High-Speed Train Components

A fault diagnosis method with continuous frequency-band indicator embedding and class-aware interpretable feature weighting

Adaptive conditional kernel Bures metric learning for bearing cross-device fault diagnosis under small and unbalanced samples

A single-domain generalization framework integrating Zernike-Based detail blur feature extraction and Mamba global attention mechanism

Dynamic Mask Cepstrum-Enhancement Network (DMC-EN): A dual-task physics-guided method based on cyclostationary features of bearing signals

ACS-DM: Adaptive conditional sampling diffusion model for few-shot machinery fault diagnosis

A time-frequency interpretable framework for bearing fault diagnosis via global channel-region information interaction and weight-CAM

导风坡圆环对牵引电机热点温度的靶向抑制及量化评估

Adaptive single-source open domain generalization network: a novel physical information fusion framework for fault diagnosis based on physically embedded autoencoder and adaptive open-set feature separation

A novel deep dynamic hybrid domain adaptation network with physical information enhancement for cross-machine fault diagnosis

DPICEN: Deep physical information consistency embedded network for bearing fault diagnosis under unknown domain

一种基于条件度量迁移学习的机械故障诊断可解释方法

基于Bo-BiLSTM网络的IGBT老化失效预测方法

Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples

Envelope spectrum neural network with adaptive domain weight harmonization for intelligent bearing fault diagnosis under cross-machine scenarios

Deep Multilayer Sparse Regularization Time- Varying Transfer Learning Networks With Dynamic Kullback–Leibler Divergence Weights for Mechanical Fault Diagnosis

A Novel Adaptive Deep Belief Network for Bearing Fault Diagnosis in Variable Working Conditions Based on Salp Swarm Algorithm Under Small Sample

Towards multi-scene learning: A novel cross-domain adaptation model based on sparse filter for traction motor bearing fault diagnosis in high-speed EMU

Deep Reconstruction Transfer Convolutional Neural Network for Rolling Bearing Fault Diagnosis

A deep targeted transfer network with clustering pseudo-label learning for fault diagnosis across different Machines

Interpretable parallel channel encoding convolutional neural network for bearing fault diagnosis

Life Prediction of Rolling Bearing Based on Bidirectional GRU

Research on Life Prediction Method of Motor Bearings

Unbalanced Bearing Fault Diagnosis Under Various Speeds Based on Spectrum Alignment and Deep Transfer Convolution Neural Network

A New De-Noising Method Based on Enhanced Time-Frequency Manifold and Kurtosis-Wavelet Dictionary for Rolling Bearing Fault Vibration Signal

A Novel Method for Fault Diagnosis of Bearings with Small and Imbalanced Data Based on Generative Adversarial Networks

Explainable 1DCNN with demodulated frequency features method for fault diagnosis of rolling bearing under time-varying speed conditions

IGBT Life Prediction Based on CNN1D-LSTM Hybrid Model

Finite Element Analysis of the Stress and Life of Cylindrical Bearing Roller of High-Speed Railway Motor

The Fault Diagnosis Method of Rolling Bearing Based on CEEMDAN

Research on Optimization Algorithm of auto-encoding neural network applied to rolling bearing fault diagnosis

A Parameter-Optimized Variational Mode Decomposition Investigation for Fault Feature Extraction of Rolling Element Bearings

An Improved Variational Mode Decomposition and Its Application on Fault Feature Extraction of Rolling Element Bearing

Application of t-Distribution Stochastic Neighbor Embedding (t-SNE) And VMD In Fault Feature Extraction

Research on Fault Diagnosis Method of Rolling Bearing Based on Resonance Sparse Decomposition

Rolling bearing fault diagnosis method based on local tangent space arrangement and VMD decomposition

On-line prediction remaining useful life for ball bearings via grey NARX

基于RSGWPT-LCD的轴承信号故障特征提取及模式识别

Feature Extraction Method for Condition Monitoring of Rolling Element Bearings Based on Dual-Tree Complex Wavelet Packet Transform and VMD

Health condition assessment of ball bearings using TOSELM

A fault diagnosis approach for rolling element bearings based on dual-tree complex wavelet packet transform-improved intrinsic time-scale decomposition, singular value decomposition, and online sequential extreme learning machine

A Fault Diagnosis Approach for Rolling Element Bearings Based on RSGWPT-LCD Bilayer Screening and Extreme Learning Machine

基于RSGWPT和EEMD的滚动轴承故障诊断

Multi-fault diagnosis for rolling element bearings based on intrinsic mode function screening and optimized least squares support vector machine

Sparse decomposition based on ADMM dictionary learning for fault feature extraction of rolling element bearing

精密谐波齿轮减速器传动误差分析

Harmonic Gear Reducer Transmission Error Analysis and Detection

基于视觉图像的二次曲线特征参数精密测量方法

高速旋转机械径向振动检测系统关键技术研究

Measurements of radiation vibrations of turbomachine blades using an optical-fiber displacement-sensing system

基于激光视觉的石英摆片厚度精密测量方法

基于变结构元与参数映射的石英摆片参数测量

基于图像的小尺寸零件圆参数亚像素定位算法

石英摆片视觉测量系统亚像素精度标定方法

基于视觉图像的石英摆片参数精密测量方法

MEMS惯性测量组合初始标定方法研究

一种标定陀螺仪的新方法

预印本

SLT-MS2DA: Speed-load topology-aware multi-target semi-supervised domain adaptation for system level compound fault diagnosis of train transmission systems

Adaptive Conditional Sampling Diffusion Model for Bearing Fault Diagnosis Under Non-Equilibrium Sample Conditions

Adaptive Sampling Multi-Scale Time Series Diffusion Model for Bearing Fault Diagnosis Under Unbalanced Sample Conditions

研究方向