Teng Wang

17 papers C 2Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Federated Physics-Informed Graph Framework Guided by Multianchors for Heterogeneous Wheeled Robots Collaborative Fault Diagnosis.
IEEE Trans. Ind. Informatics
Gang Mao, Yongbo Li, Yulong Zhang, Teng Wang, Khandaker Noman, Zhiqiang Cai
2026 J jnl
PD-FedOS: Prototype-driven federated open-set learning framework for collaborative intelligent fault diagnosis of aero-engine rotor systems.
Expert Syst. Appl.
Gang Mao, Yongbo Li, Zhiqiang Cai, Teng Wang, Khandaker Noman, Ran Zhang
2025 J jnl
Identifying change point in dynamic bearing degradation process: A retrospective approach based on visibility graph modeling.
Eng. Appl. Artif. Intell.
Guangyuan Chen, Ke Li, Keyan Yuan, Zixu Chen, Teng Wang, Guoliang Lu
2025 J jnl
Trustworthy multimodal feature-enhanced fusion network for non-contact rotating machinery fault diagnosis.
Inf. Fusion
Wanming Ying, Lunyong Li, Yongbo Li, Teng Wang, Jinde Zheng, Ke Feng
2024 C conf
Digital Twin for Industrial Asset Management: A Case Study for Pipeline Maintenance.
IECON
Ling Bai, Rakiba Rayhana, Jiatong Ling, Teng Wang, Zheng Liu, Andreas Schnabel, Chunsheng Yang, Min Liao
2024 C conf
Distributed Predictive Maintenance through Edge Computing.
INDIN
Rakiba Rayhana, Hongguang Yun, Teng Wang, Johnson Chen, Yanshuo Fan, Zheng Liu, Wendy Gao
2023 J jnl
Data Modeling Techniques for Pipeline Integrity Assessment: A State-of-the-Art Survey.
IEEE Trans. Instrum. Meas.
Jiatong Ling, Ke Feng, Teng Wang, Min Liao, Chunsheng Yang, Zheng Liu
2022 J jnl
An End-to-End Framework for Shipping Container Corrosion Defect Inspection.
IEEE Trans. Instrum. Meas.
Zhila Bahrami, Ran Zhang, Teng Wang, Zheng Liu
2022 J jnl
Probabilistic Analysis for Remaining Useful Life Prediction and Reliability Assessment.
IEEE Trans. Reliab.
Teng Wang, Zheng Liu, Min Liao, Nezih Mrad, Guoliang Lu
2021 J jnl
A Probabilistic Framework for Remaining Useful Life Prediction of Bearings.
IEEE Trans. Instrum. Meas.
Teng Wang, Zheng Liu, Nezih Mrad
2021 J jnl
An Adaptive Deep Learning Framework for Shipping Container Code Localization and Recognition.
IEEE Trans. Instrum. Meas.
Ran Zhang, Zhila Bahrami, Teng Wang, Zheng Liu
2021 — conf
Environment Prediction to Enhance the Navigation System of Water Pipeline Inspection Platforms.
ISIE
Rakiba Rayhana, Zhila Bahrami, Teng Wang, Zheng Liu, Angie Wu, Xiangjie Kong
2021 J jnl
Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing.
IEEE Trans. Instrum. Meas.
Xiaoli Zhao, Minping Jia, Junchi Bin, Teng Wang, Zheng Liu
2021 J jnl
Temporal-Spatio Graph Based Spectrum Analysis for Bearing Fault Detection and Diagnosis.
IEEE Trans. Ind. Electron.
Teng Wang, Zheng Liu, Guoliang Lu, Jie Liu
2020 J jnl
A Novel Statistical Time-Frequency Analysis for Rotating Machine Condition Monitoring.
IEEE Trans. Ind. Electron.
Teng Wang, Guoliang Lu, Peng Yan
2020 — conf
Optimized Deep Neural Network Architectures with Anchor Box optimization for Shipping Container Corrosion Inspection.
SSCI
Zhila Bahrami, Ran Zhang, Rakiba Rayhana, Teng Wang, Zheng Liu
2019 J jnl
Graph-Based Change Detection for Condition Monitoring of Rotating Machines: Techniques for Graph Similarity.
IEEE Trans. Reliab.
Teng Wang, Guoliang Lu, Jie Liu, Peng Yan