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 26 papers between 2015 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Quaternion Approximate Networks for Enhanced Image Classification and Oriented Object Detection.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024
Comparison and explanation of data-driven modeling for weld quality prediction in resistance spot welding.
J. Intell. Manuf., March, 2024

Mixed-Up Experience Replay for Adaptive Online Condition Monitoring.
IEEE Trans. Ind. Electron., February, 2024

A Deployable Edge Computing Solution for Machine Condition Monitoring.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023
Maximizing Model Generalization for Manufacturing with Self-Supervised Learning and Federated Learning.
CoRR, 2023

Explainable machine learning for motor fault diagnosis.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2022
How to Accurately Monitor the Weld Penetration From Dynamic Weld Pool Serial Images Using CNN-LSTM Deep Learning Model?
IEEE Robotics Autom. Lett., 2022

Monitoring of Backside Weld Bead Width from High Dynamic Range Images Using CNN Network.
Proceedings of the 8th International Conference on Control, 2022

Improved Representations for Continual Learning of Novel Motor Health Conditions through Few-Shot Prototypical Networks.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021
Lévy Process-Based Stochastic Modeling for Machine Performance Degradation Prognosis.
IEEE Trans. Ind. Electron., 2021

Hybrid machine learning for human action recognition and prediction in assembly.
Robotics Comput. Integr. Manuf., 2021

Digital Twin for Human-Robot Interactive Welding and Welder Behavior Analysis.
IEEE CAA J. Autom. Sinica, 2021

2020
Generalized Vold-Kalman Filtering for Nonstationary Compound Faults Feature Extraction of Bearing and Gear.
IEEE Trans. Instrum. Meas., 2020

DCNN-Based Multi-Signal Induction Motor Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2020

2019
Deep learning-based tensile strength prediction in fused deposition modeling.
Comput. Ind., 2019

Deep learning for fault diagnosis and prognosis in manufacturing systems.
Comput. Ind., 2019

2018
Lévy Process-Based Stochastic Modeling for Machine Performance Degradation Prognosis.
Proceedings of the IECON 2018, 2018

2017
Automated Performance Tracking for Heat Exchangers in HVAC.
IEEE Trans Autom. Sci. Eng., 2017

A battery-less, 255 nA quiescent current temperature sensor with voltage regulator fully powered by harvesting ambient vibrational energy.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2016
Deep Learning and Its Applications to Machine Health Monitoring: A Survey.
CoRR, 2016

A programmable CMOS feedback IC for reconfigurable MEMS-referenced oscillators.
Proceedings of the 14th IEEE International New Circuits and Systems Conference, 2016

A correlation-based approach to trustworthy sensing for cyber-physical systems.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016

Multi-sensor data fusion for improved measurement accuracy in injection molding.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016

A sparse approach to fault severity classification for gearbox monitoring.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
Switching local search particle filtering for heat exchanger degradation prognosis.
Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015

Automated performance tracking for heat exchangers in HVAC.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015


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