杨博渊｜南京大学｜学者主页

2026

Joint intra- and inter-cycle modeling for co-estimating state of health and remaining useful life of lithium-ion batteries

Qiang Zheng, Yuting Zhang, Chao Li, Yang Lu, Boyuan Yang

Journal of Energy Storage

DOI

2026

EWT-AVOABSR: Weak Fault Feature Extraction for Centrifugal Blower Rolling Bearings via Empirical Wavelet Transform and AVOA-Optimized Bistable Stochastic Resonance

Chao Li, Dacheng Yang, Qiang Zheng, Yuting Zhang, Boyuan Yang

Youth Academic Annual Conference of Chinese Association of Automation (YAC)

DOI

2026

SOHLLM: Multi-Step State of Health Prediction for Lithium-Ion Batteries via Large Language Models

Qiang Zheng, Chao Li, Yuting Zhang, Dacheng Yang, Yuntian Zhai, Boyuan Yang

Youth Academic Annual Conference of Chinese Association of Automation (YAC)

DOI

2026

Memory-Driven Querying Transformer for Vision-and-Language Navigation

Chuan Jin, Yuting Zhang, Boyuan Yang

Lecture notes in computer science

DOI

2025

PhysGCN-DL: Physics-Informed Graph Convolutional Networks with Diversity-Aware Loss Optimization for Multimodal Pedestrian Trajectory Prediction

Zihan Jiang, Ruonan Liu, Ying Zhou, Haibo Lu, Boyuan Yang, Di Lin, Weidong Zhang

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

DOI

2025

Differential out-of-distribution error guidance for unknown bearing fault diagnosis with conditional diffusion model

Yuting Zhang, Boyuan Yang, Zixu Zhao

Engineering Applications of Artificial Intelligence

DOI

2025

Point-to-Set Metric-Gated Mixture of Experts for Multisource Domain Adaptation Fault Diagnosis

Boyuan Yang, Jinyuan Zhang, Ruonan Liu, Di Lin, Ping Li, C. L. Philip Chen

IEEE Transactions on Neural Networks and Learning Systems

DOI

2024

Dynamic Confusion-Aware Correlation Network for Cross-Domain Fault Diagnosis

Jinyuan Zhang, Boyuan Yang, Ruonan Liu

Proceedings of the Annual Conference of the IEEE Industrial Electronics Society

DOI

2024

BFD-DDPM: Denoising Diffusion Probabilistic Models for Bearing Fault Diagnosis

Yuting Zhang, Boyuan Yang

China Automation Congress (CAC)

DOI

2024

Open Set Recognition of Intelligent Bearing Fault Diagnosis Based on Hybrid Neural Network and Improved OPENMAX

Zixu Zhao, Boyuan Yang

International Conference on Information Communication and Signal Processing (ICICSP)

DOI

2024

Enhancing Domain Generalization in Rotating Machinery Fault Diagnosis Through Diffusion Model-Based Data Augmentation

Jinyuan Zhang, Boyuan Yang

2022 IEEE 20th International Conference on Industrial Informatics (INDIN)

DOI

2024

Class-Aware Semi-Supervised Contrastive Learning with Pseudo-Label Guidance for Bearing Fault Diagnosis

Lei Wang, Boyuan Yang

2022 IEEE 20th International Conference on Industrial Informatics (INDIN)

DOI

2024

Survey on Foundation Models for Prognostics and Health Management in Industrial Cyber-Physical Systems

Ruonan Liu, Quanhu Zhang, Te Han, Boyuan Yang, Weidong Zhang, Shen Yin, Donghua Zhou

IEEE Transactions on Industrial Cyber-Physical Systems

DOI

2024

Improved VLN-BERT with Reinforcing Endpoint Alignment for Vision-and-Language Navigation

Chuan Jin, Boyuan Yang, Ruonan Liu

Communications in computer and information science

DOI

2023

TF-FDGAN: Unsupervised Bearing Fault Detection Based on Time-Frequency Transform and Generative Adversarial Networks

Zixuan Wei, Jingbo Ma, Boyuan Yang

2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

DOI

2023

Industrial Big Data Analytical System in Industrial Cyber-Physical Systems Based on Coarse-to-Fine Deep Network

Ruonan Liu, Quanhu Zhang, Yu Wang, Zengxiang Li, Dongyue Chen, Steven X. Ding, Qinghua Hu, Boyuan Yang

IEEE Transactions on Industrial Cyber-Physical Systems

DOI

2022

Self-supervised Contrastive Learning Approach for Bearing Fault Diagnosis with Rare Labeled Data

Jianghai Chen, Boyuan Yang, Ruonan Liu

International Symposium on Industrial Electronics

DOI

2020

Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions

Ruonan Liu, Fei Wang, Boyuan Yang, S. Qin

IEEE Transactions on Industrial Informatics

DOI

2020

Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network

Ruonan Liu, Boyuan Yang, Alexander Hauptmann

IEEE Transactions on Industrial Informatics

DOI

2019

A Descriptor System Approach of Sensor Fault State Estimation for Sampled-data Systems

Zhenhua Zhou, Wang Mao, Boyuan Yang

DOI

2019

Fast Nonlinear Chirplet Dictionary-Based Sparse Decomposition for Rotating Machinery Fault Diagnosis Under Nonstationary Conditions

Boyuan Yang, Zhibo Yang, Ruo-bin Sun, Zhi Zhai, Xue-Feng Chen

IEEE Transactions on Instrumentation and Measurement

DOI

2019

Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture

Boyuan Yang, Ruonan Liu, E. Zio

IEEE transactions on industrial electronics (1982. Print)

DOI

2018

Sparse Time-Frequency Representation for Incipient Fault Diagnosis of Wind Turbine Drive Train

Boyuan Yang, Ruonan Liu, Xue-Feng Chen

IEEE Transactions on Instrumentation and Measurement

DOI

2018

Artificial intelligence for fault diagnosis of rotating machinery: A review

Ruonan Liu, Boyuan Yang, E. Zio, Xue-Feng Chen

Mechanical systems and signal processing

DOI

2017

Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine

Ruonan Liu, Guotao Meng, Boyuan Yang, Chuang Sun, Xue-Feng Chen

IEEE Transactions on Industrial Informatics

DOI

2017

Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD

Boyuan Yang, Ruonan Liu, Xue-Feng Chen

IEEE Transactions on Industrial Informatics

DOI

2017

Compressed-Sensing-Based Periodic Impulsive Feature Detection for Wind Turbine Systems

Zhaohui Du, Xue-Feng Chen, Han Zhang, Boyuan Yang

IEEE Transactions on Industrial Informatics

DOI

2017

Sparsity-aware tight frame learning with adaptive subspace recognition for multiple fault diagnosis

Han Zhang, Xue-Feng Chen, Zhaohui Du, Boyuan Yang

DOI

2017

Weighted low-rank sparse model via nuclear norm minimization for bearing fault detection

Zhaohui Du, Xue-Feng Chen, Han Zhang, Boyuan Yang, Zhi Zhai, Ru-Qiang Yan

DOI

2016

Sparse representation based on redundant dictionary and basis pursuit denoising for wind turbine gearbox fault diagnosis

Boyuan Yang, Ruonan Liu, Rui-Ping Li, Xue-Feng Chen

2016 International Symposium on Flexible Automation (ISFA)

DOI

2016

Sparse components separation-based operational reliability assessment approach

Ruonan Liu, Boyuan Yang, Meng Ma, Xue-Feng Chen, Guotao Meng

Prognostics and System Health Management Conference

DOI

2016

Time-frequency atoms-driven support vector machine method for bearings incipient fault diagnosis

Ruonan Liu, Boyuan Yang, Xiaoli Zhang, Shi-Bin Wang, Xue-Feng Chen

DOI

2015

Feature Identification With Compressive Measurements for Machine Fault Diagnosis

Zhaohui Du, Xue-Feng Chen, Han Zhang, Huihui Miao, Yanjie Guo, Boyuan Yang

IEEE Transactions on Instrumentation and Measurement

DOI

2012

Sensitive Bearing Defect Feature Extraction Based on EMD and Hilbert Envelope Spectrum

Boyuan Yang, Lanlan Liang

DOI

2011

Diagnosis method for single fault of aerospace bearings

Junjuan Li, Boyuan Yang, Lanlan Liang

2011 Second International Conference on Mechanic Automation and Control Engineering

DOI

1992

A Study on Defect Diagnosis of Rotating Machinery Using Neural Network

Won-Ho Choe, Boyuan Yang

精选作品

期刊论文

Joint intra- and inter-cycle modeling for co-estimating state of health and remaining useful life of lithium-ion batteries

EWT-AVOABSR: Weak Fault Feature Extraction for Centrifugal Blower Rolling Bearings via Empirical Wavelet Transform and AVOA-Optimized Bistable Stochastic Resonance

SOHLLM: Multi-Step State of Health Prediction for Lithium-Ion Batteries via Large Language Models

Memory-Driven Querying Transformer for Vision-and-Language Navigation

PhysGCN-DL: Physics-Informed Graph Convolutional Networks with Diversity-Aware Loss Optimization for Multimodal Pedestrian Trajectory Prediction

Differential out-of-distribution error guidance for unknown bearing fault diagnosis with conditional diffusion model

Point-to-Set Metric-Gated Mixture of Experts for Multisource Domain Adaptation Fault Diagnosis

Dynamic Confusion-Aware Correlation Network for Cross-Domain Fault Diagnosis

BFD-DDPM: Denoising Diffusion Probabilistic Models for Bearing Fault Diagnosis

Open Set Recognition of Intelligent Bearing Fault Diagnosis Based on Hybrid Neural Network and Improved OPENMAX

Enhancing Domain Generalization in Rotating Machinery Fault Diagnosis Through Diffusion Model-Based Data Augmentation

Class-Aware Semi-Supervised Contrastive Learning with Pseudo-Label Guidance for Bearing Fault Diagnosis

Survey on Foundation Models for Prognostics and Health Management in Industrial Cyber-Physical Systems

Improved VLN-BERT with Reinforcing Endpoint Alignment for Vision-and-Language Navigation

TF-FDGAN: Unsupervised Bearing Fault Detection Based on Time-Frequency Transform and Generative Adversarial Networks

Industrial Big Data Analytical System in Industrial Cyber-Physical Systems Based on Coarse-to-Fine Deep Network

Self-supervised Contrastive Learning Approach for Bearing Fault Diagnosis with Rare Labeled Data

Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions

Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network

A Descriptor System Approach of Sensor Fault State Estimation for Sampled-data Systems

Fast Nonlinear Chirplet Dictionary-Based Sparse Decomposition for Rotating Machinery Fault Diagnosis Under Nonstationary Conditions

Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture

Sparse Time-Frequency Representation for Incipient Fault Diagnosis of Wind Turbine Drive Train

Artificial intelligence for fault diagnosis of rotating machinery: A review

Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine

Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD

Compressed-Sensing-Based Periodic Impulsive Feature Detection for Wind Turbine Systems

Sparsity-aware tight frame learning with adaptive subspace recognition for multiple fault diagnosis

Weighted low-rank sparse model via nuclear norm minimization for bearing fault detection

Sparse representation based on redundant dictionary and basis pursuit denoising for wind turbine gearbox fault diagnosis

Sparse components separation-based operational reliability assessment approach

Time-frequency atoms-driven support vector machine method for bearings incipient fault diagnosis

Feature Identification With Compressive Measurements for Machine Fault Diagnosis

Sensitive Bearing Defect Feature Extraction Based on EMD and Hilbert Envelope Spectrum

Diagnosis method for single fault of aerospace bearings

A Study on Defect Diagnosis of Rotating Machinery Using Neural Network

会议论文

Nonlinear Recursive Update Strategy for Generalized-Maximum-Likelihood Type Kalman Filters

研究方向