李建波｜中南林业科技大学｜学者主页

2026

On-Board Identification Algorithm for Rail Weld Irregularity of Heavy-Haul Railway Based on Rail Weld Joint Characteristics

Jianbo Li, Mengfang Ao, Hongmei Shi, Jia-Qi Shi, Ji Qiu, Zujun Yu, Zengqiang Jiang

IEEE Transactions on Instrumentation and Measurement

DOI

2026

Research on multi-stage on-board detection algorithm of track defects of high-speed railway based on the influence mechanism of track defects

Jianbo Li, Hong-Mei Shi, Ji Qiu, Jia-Qi Shi, Zujun Yu, Zengqiang Jiang

Scientific Reports

DOI

2026

A probabilistic state assessment framework for damaged heavy-haul railway bridges using vehicle-bridge collaborative monitoring.

Jia-Qi Shi, Hongmei Shi, Jianbo Li, Nan Zhang

Scientific Reports

DOI

2026

From Pixels to Semantics: A Hybrid Framework for Unsupervised Anomaly Detection and Anchor-Assisted Semantic Interpretation of Railway Tracks

Shuai Wu, Hong-Mei Shi, Jianbo Li, Jia-Qi Shi, Wen-Lin Yang, Zujun Yu

IEEE Transactions on Industrial Informatics

DOI

2026

Prior knowledge-embedded first-layer interpretable paradigm for rail transit vehicle human-computer collaboration fault monitoring

Chao He, Hongmei Shi, Jing-Xiao Liao, Bin Liu, Qiuhai Liu, Jianbo Li, Zujun Yu

Journal of Industrial Information Integration

DOI

2025

Fusing a Slimming Network and Large Language Models for Intelligent Decision Support in Industrial Safety and Preventive Monitoring

Weijun Tian, Jia Yin, Wei Wang, Zhonghua Guo, Li-Qiang Zhu, Jianbo Li

Electronics

DOI

2025

EdgeAD: Unsupervised Learning Model Based on Prior Knowledge Enhanced Image Anomaly Detection of Heavy Railway Freight Cars

Weiyu Zhang, Hongmei Shi, Ji Qiu, Zujun Yu, Jianbo Li

IEEE Transactions on Instrumentation and Measurement

DOI

2025

CMT-TFENet: A Two-Stage Rail Corrugation Detection Algorithm Using On-Board Response

Shuai Wu, Hongmei Shi, Jianbo Li, Mengfang Ao, Jia-Qi Shi, Wen-Lin Yang, Zujun Yu

IEEE Transactions on Instrumentation and Measurement

DOI

2025

TMR-AnoN: a brightness-twin dual-channel anomaly detection network for railway freight cars

Weiyu Zhang, Hongmei Shi, Ji Qiu, Jianbo Li, Chao He, Zujun Yu

Measurement science and technology

DOI

2025

Adaptive multi-scale Laplace wavelet weighted fusion framework for heavy haul freight train fault diagnosis under limited sample with high-noise

Ruixin Li, Hong-Mei Shi, Chao He, Jianbo Li, Ji Qiu, Zujun Yu

Nondestructive Testing and Evaluation

DOI

2024

An On-Board Damage Detection Method for Heavy-Haul Railway Bridge Based on Sensitivity Analysis of Bogie Responses

Jia-Qi Shi, Hongmei Shi, Zhao-Zhi Wu, Jianbo Li

IEEE Sensors Journal

DOI

2024

Interpretable modulated differentiable STFT and physics-informed balanced spectrum metric for freight train wheelset bearing cross-machine transfer fault diagnosis under speed fluctuations

Chao He, Hongmei Shi, Ruixin Li, Jianbo Li, Zujun Yu

Advanced Engineering Informatics

DOI

2024

Interpretable physics-informed domain adaptation paradigm for cross-machine transfer diagnosis

Chao He, Hongmei Shi, Xiaorong Liu, Jianbo Li

Knowledge-Based Systems

DOI

2024

A frequency identification approach for damaged heavy-haul railway bridge with bogie accelerations

Jia-Qi Shi, Hongmei Shi, Nan Zhang, Jianbo Li

International Journal of Structural Stability and Dynamics

DOI

2024

Train-induced vibration response reconstruction for bridge damage detection with a deep learning methodology

Jia-Qi Shi, Hongmei Shi, Jianbo Li, Zujun Yu

Structures

DOI

2023

IDSN: A one-stage interpretable and differentiable STFT domain adaptation network for traction motor of high-speed trains cross-machine diagnosis

Chao He, Hongmei Shi, Jianbo Li

Mechanical systems and signal processing

DOI

李建波

精选作品

期刊论文

On-Board Identification Algorithm for Rail Weld Irregularity of Heavy-Haul Railway Based on Rail Weld Joint Characteristics

Research on multi-stage on-board detection algorithm of track defects of high-speed railway based on the influence mechanism of track defects

A probabilistic state assessment framework for damaged heavy-haul railway bridges using vehicle-bridge collaborative monitoring.

From Pixels to Semantics: A Hybrid Framework for Unsupervised Anomaly Detection and Anchor-Assisted Semantic Interpretation of Railway Tracks

Prior knowledge-embedded first-layer interpretable paradigm for rail transit vehicle human-computer collaboration fault monitoring

Fusing a Slimming Network and Large Language Models for Intelligent Decision Support in Industrial Safety and Preventive Monitoring

EdgeAD: Unsupervised Learning Model Based on Prior Knowledge Enhanced Image Anomaly Detection of Heavy Railway Freight Cars

CMT-TFENet: A Two-Stage Rail Corrugation Detection Algorithm Using On-Board Response

TMR-AnoN: a brightness-twin dual-channel anomaly detection network for railway freight cars

Adaptive multi-scale Laplace wavelet weighted fusion framework for heavy haul freight train fault diagnosis under limited sample with high-noise

An On-Board Damage Detection Method for Heavy-Haul Railway Bridge Based on Sensitivity Analysis of Bogie Responses

Interpretable modulated differentiable STFT and physics-informed balanced spectrum metric for freight train wheelset bearing cross-machine transfer fault diagnosis under speed fluctuations

Interpretable physics-informed domain adaptation paradigm for cross-machine transfer diagnosis

A frequency identification approach for damaged heavy-haul railway bridge with bogie accelerations

Train-induced vibration response reconstruction for bridge damage detection with a deep learning methodology

IDSN: A one-stage interpretable and differentiable STFT domain adaptation network for traction motor of high-speed trains cross-machine diagnosis