Peng Wang

Orcid: 0000-0003-3098-009X

Affiliations:

University of Kentucky, Institute for Sustainable Manufacturing, USA
Case Western Reserve University, Department of Mechanical and Aerospace Engineering, Cleveland, OH, USA (PhD 2017)

According to our database¹, Peng Wang authored at least 20 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Comparison and explanation of data-driven modeling for weld quality prediction in resistance spot welding.

[BibT_eX]

[DOI]

Hassan Ghassemi-Armaki

Blair E. Carlson

Peng Wang

J. Intell. Manuf., March, 2024

Mixed-Up Experience Replay for Adaptive Online Condition Monitoring.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., February, 2024

2023

Maximizing Model Generalization for Manufacturing with Self-Supervised Learning and Federated Learning.

[BibT_eX]

[DOI]

Matthew Russell

Peng Wang

CoRR, 2023

2022

How to Accurately Monitor the Weld Penetration From Dynamic Weld Pool Serial Images Using CNN-LSTM Deep Learning Model?

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Monitoring of Backside Weld Bead Width from High Dynamic Range Images Using CNN Network.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Control, 2022

Improved Representations for Continual Learning of Novel Motor Health Conditions through Few-Shot Prototypical Networks.

[BibT_eX]

[DOI]

Matthew Russell

Peng Wang

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

Lévy Process-Based Stochastic Modeling for Machine Performance Degradation Prognosis.

[BibT_eX]

[DOI]

Peng Wang

Robert X. Gao

Wojbor A. Woyczynski

IEEE Trans. Ind. Electron., 2021

Hybrid machine learning for human action recognition and prediction in assembly.

[BibT_eX]

[DOI]

Jianjing Zhang

Peng Wang

Robert X. Gao

Robotics Comput. Integr. Manuf., 2021

Digital Twin for Human-Robot Interactive Welding and Welder Behavior Analysis.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2021

2020

Generalized Vold-Kalman Filtering for Nonstationary Compound Faults Feature Extraction of Bearing and Gear.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2020

DCNN-Based Multi-Signal Induction Motor Fault Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2020

2019

Deep learning-based tensile strength prediction in fused deposition modeling.

[BibT_eX]

[DOI]

Jianjing Zhang

Peng Wang

Robert X. Gao

Comput. Ind., 2019

Deep learning for fault diagnosis and prognosis in manufacturing systems.

[BibT_eX]

[DOI]

Comput. Ind., 2019

2018

Lévy Process-Based Stochastic Modeling for Machine Performance Degradation Prognosis.

[BibT_eX]

[DOI]

Peng Wang

Robert X. Gao

Proceedings of the IECON 2018, 2018

2017

Automated Performance Tracking for Heat Exchangers in HVAC.

[BibT_eX]

[DOI]

Peng Wang

Robert X. Gao

IEEE Trans Autom. Sci. Eng., 2017

2016

Deep Learning and Its Applications to Machine Health Monitoring: A Survey.

[BibT_eX]

[DOI]

CoRR, 2016

A correlation-based approach to trustworthy sensing for cyber-physical systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016

Multi-sensor data fusion for improved measurement accuracy in injection molding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016

A sparse approach to fault severity classification for gearbox monitoring.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Information Fusion, 2016

2015

Switching local search particle filtering for heat exchanger degradation prognosis.

[BibT_eX]

[DOI]

Peng Wang

Robert X. Gao

Zhaoyan Fan

Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015

Peng Wang

Timeline

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