Teng Wang

According to our database, Teng Wang authored at least 17 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Federated Physics-Informed Graph Framework Guided by Multianchors for Heterogeneous Wheeled Robots Collaborative Fault Diagnosis.

Gang Mao, Yongbo Li, Yulong Zhang, Teng Wang, Khandaker Noman, Zhiqiang Cai

IEEE Trans. Ind. Informatics, March, 2026

PD-FedOS: Prototype-driven federated open-set learning framework for collaborative intelligent fault diagnosis of aero-engine rotor systems.

Gang Mao, Yongbo Li, Zhiqiang Cai, Teng Wang, Khandaker Noman, Ran Zhang

Expert Syst. Appl., 2026

2025

Trustworthy multimodal feature-enhanced fusion network for non-contact rotating machinery fault diagnosis.

Wanming Ying, Lunyong Li, Yongbo Li, Teng Wang, Jinde Zheng, Ke Feng

Inf. Fusion, 2025

Identifying change point in dynamic bearing degradation process: A retrospective approach based on visibility graph modeling.

Guangyuan Chen, Ke Li, Keyan Yuan, Zixu Chen, Teng Wang, Guoliang Lu

Eng. Appl. Artif. Intell., 2025

2024

Distributed Predictive Maintenance through Edge Computing.

Rakiba Rayhana, Hongguang Yun, Teng Wang, Johnson Chen, Yanshuo Fan, Zheng Liu, Wendy Gao

Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

Digital Twin for Industrial Asset Management: A Case Study for Pipeline Maintenance.

Ling Bai, Rakiba Rayhana, Jiatong Ling, Teng Wang, Zheng Liu, Andreas Schnabel, Chunsheng Yang, Min Liao

Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

2023

Data Modeling Techniques for Pipeline Integrity Assessment: A State-of-the-Art Survey.

Jiatong Ling, Ke Feng, Teng Wang, Min Liao, Chunsheng Yang, Zheng Liu

IEEE Trans. Instrum. Meas., 2023

2022

Probabilistic Analysis for Remaining Useful Life Prediction and Reliability Assessment.

Teng Wang, Zheng Liu, Min Liao, Nezih Mrad, Guoliang Lu

IEEE Trans. Reliab., 2022

An End-to-End Framework for Shipping Container Corrosion Defect Inspection.

Zhila Bahrami, Ran Zhang, Teng Wang, Zheng Liu

IEEE Trans. Instrum. Meas., 2022

2021

Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing.

Xiaoli Zhao, Minping Jia, Junchi Bin, Teng Wang, Zheng Liu

IEEE Trans. Instrum. Meas., 2021

An Adaptive Deep Learning Framework for Shipping Container Code Localization and Recognition.

Ran Zhang, Zhila Bahrami, Teng Wang, Zheng Liu

IEEE Trans. Instrum. Meas., 2021

A Probabilistic Framework for Remaining Useful Life Prediction of Bearings.

Teng Wang, Zheng Liu, Nezih Mrad

IEEE Trans. Instrum. Meas., 2021

Temporal-Spatio Graph Based Spectrum Analysis for Bearing Fault Detection and Diagnosis.

Teng Wang, Zheng Liu, Guoliang Lu, Jie Liu

IEEE Trans. Ind. Electron., 2021

Environment Prediction to Enhance the Navigation System of Water Pipeline Inspection Platforms.

Rakiba Rayhana, Zhila Bahrami, Teng Wang, Zheng Liu, Angie Wu, Xiangjie Kong

Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021

2020

A Novel Statistical Time-Frequency Analysis for Rotating Machine Condition Monitoring.

Teng Wang, Guoliang Lu, Peng Yan

IEEE Trans. Ind. Electron., 2020

Optimized Deep Neural Network Architectures with Anchor Box optimization for Shipping Container Corrosion Inspection.

Zhila Bahrami, Ran Zhang, Rakiba Rayhana, Teng Wang, Zheng Liu

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019

Graph-Based Change Detection for Condition Monitoring of Rotating Machines: Techniques for Graph Similarity.

Teng Wang, Guoliang Lu, Jie Liu, Peng Yan

IEEE Trans. Reliab., 2019