Peng Wang

20 papers C 3Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Comparison and explanation of data-driven modeling for weld quality prediction in resistance spot welding.
J. Intell. Manuf.
Matthew Russell, Joseph Kershaw, Yujun Xia, Tianle Lv, Yongbing Li, Hassan Ghassemi-Armaki, Blair E. Carlson, Peng Wang
2024 J jnl
Mixed-Up Experience Replay for Adaptive Online Condition Monitoring.
IEEE Trans. Ind. Electron.
Matthew Russell, Peng Wang, Shaopeng Liu, I. S. Jawahir
2023 J jnl
Maximizing Model Generalization for Manufacturing with Self-Supervised Learning and Federated Learning.
CoRR
Matthew Russell, Peng Wang
2022 J jnl
How to Accurately Monitor the Weld Penetration From Dynamic Weld Pool Serial Images Using CNN-LSTM Deep Learning Model?
IEEE Robotics Autom. Lett.
Rui Yu, Joseph Kershaw, Peng Wang, Yuming Zhang
2022 — conf
Improved Representations for Continual Learning of Novel Motor Health Conditions through Few-Shot Prototypical Networks.
CASE
Matthew Russell, Peng Wang
2022 C conf
Monitoring of Backside Weld Bead Width from High Dynamic Range Images Using CNN Network.
CoDIT
Rui Yu, Joseph Kershaw, Peng Wang, Yuming Zhang
2021 J jnl
Digital Twin for Human-Robot Interactive Welding and Welder Behavior Analysis.
IEEE CAA J. Autom. Sinica
Qiyue Wang, Wenhua Jiao, Peng Wang, Yuming Zhang
2021 J jnl
Hybrid machine learning for human action recognition and prediction in assembly.
Robotics Comput. Integr. Manuf.
Jianjing Zhang, Peng Wang, Robert X. Gao
2021 J jnl
Lévy Process-Based Stochastic Modeling for Machine Performance Degradation Prognosis.
IEEE Trans. Ind. Electron.
Peng Wang, Robert X. Gao, Wojbor A. Woyczynski
2020 J jnl
DCNN-Based Multi-Signal Induction Motor Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Siyu Shao, Ruqiang Yan, Yadong Lu, Peng Wang, Robert X. Gao
2020 J jnl
Generalized Vold-Kalman Filtering for Nonstationary Compound Faults Feature Extraction of Bearing and Gear.
IEEE Trans. Instrum. Meas.
Dezun Zhao, Weidong Cheng, Robert X. Gao, Ruqiang Yan, Peng Wang
2019 J jnl
Deep learning for fault diagnosis and prognosis in manufacturing systems.
Comput. Ind.
Ruqiang Yan, Xuefeng Chen, Peng Wang, Darian M. Onchis
2019 J jnl
Deep learning-based tensile strength prediction in fused deposition modeling.
Comput. Ind.
Jianjing Zhang, Peng Wang, Robert X. Gao
2018 C conf
Lévy Process-Based Stochastic Modeling for Machine Performance Degradation Prognosis.
IECON
Peng Wang, Robert X. Gao
2017 J jnl
Automated Performance Tracking for Heat Exchangers in HVAC.
IEEE Trans Autom. Sci. Eng.
Peng Wang, Robert X. Gao
2016 — conf
A correlation-based approach to trustworthy sensing for cyber-physical systems.
I2MTC
Dongyu Wu, Peng Wang, Xingwu Zhang, Ruqiang Yan, Robert X. Gao
2016 C conf
A sparse approach to fault severity classification for gearbox monitoring.
FUSION
Chuang Sun, Peng Wang, Ruqiang Yan, Robert X. Gao
2016 J jnl
Deep Learning and Its Applications to Machine Health Monitoring: A Survey.
CoRR
Rui Zhao, Ruqiang Yan, Zhenghua Chen, Kezhi Mao, Peng Wang, Robert X. Gao
2016 — conf
Multi-sensor data fusion for improved measurement accuracy in injection molding.
I2MTC
Zhaoyan Fan, Robert X. Gao, Peng Wang, David O. Kazmer
2015 — conf
Switching local search particle filtering for heat exchanger degradation prognosis.
I2MTC
Peng Wang, Robert X. Gao, Zhaoyan Fan