Teng Wang

Orcid: 0000-0002-4836-1740

Affiliations:
  • Shandong University, Key Laboratory of High-Efficiency and Clean Mechanical Manufacture of MOE, Jinan, China


According to our database1, Teng Wang authored at least 11 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Data Modeling Techniques for Pipeline Integrity Assessment: A State-of-the-Art Survey.
IEEE Trans. Instrum. Meas., 2023

2022
Probabilistic Analysis for Remaining Useful Life Prediction and Reliability Assessment.
IEEE Trans. Reliab., 2022

An End-to-End Framework for Shipping Container Corrosion Defect Inspection.
IEEE Trans. Instrum. Meas., 2022

2021
Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing.
IEEE Trans. Instrum. Meas., 2021

An Adaptive Deep Learning Framework for Shipping Container Code Localization and Recognition.
IEEE Trans. Instrum. Meas., 2021

A Probabilistic Framework for Remaining Useful Life Prediction of Bearings.
IEEE Trans. Instrum. Meas., 2021

Temporal-Spatio Graph Based Spectrum Analysis for Bearing Fault Detection and Diagnosis.
IEEE Trans. Ind. Electron., 2021

Environment Prediction to Enhance the Navigation System of Water Pipeline Inspection Platforms.
Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021

2020
A Novel Statistical Time-Frequency Analysis for Rotating Machine Condition Monitoring.
IEEE Trans. Ind. Electron., 2020

Optimized Deep Neural Network Architectures with Anchor Box optimization for Shipping Container Corrosion Inspection.
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.
IEEE Trans. Reliab., 2019


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