Peng Wang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Fault Diagnosis

Particle Filtering

Kalman Filtering

Top Venues

IEEE Trans. Instrum. Meas.

IEEE Trans. Ind. Electron.

Publications

Matthew Russell, Peng Wang, Shaopeng Liu, I. S. Jawahir
Mixed-Up Experience Replay for Adaptive Online Condition Monitoring. IEEE Trans. Ind. Electron. 71 (2) (2024)
Matthew Russell, Joseph Kershaw, Yujun Xia, Tianle Lv, Yongbing Li, Hassan Ghassemi-Armaki, Blair E. Carlson, Peng Wang
Comparison and explanation of data-driven modeling for weld quality prediction in resistance spot welding. J. Intell. Manuf. 35 (3) (2024)
Rui Yu, Joseph Kershaw, Peng Wang, YuMing Zhang
How to Accurately Monitor the Weld Penetration From Dynamic Weld Pool Serial Images Using CNN-LSTM Deep Learning Model? IEEE Robotics Autom. Lett. 7 (3) (2022)
Rui Yu, Joseph Kershaw, Peng Wang, YuMing Zhang
Monitoring of Backside Weld Bead Width from High Dynamic Range Images Using CNN Network. CoDIT (2022)
Peng Wang, Robert X. Gao, Wojbor A. Woyczynski
Lévy Process-Based Stochastic Modeling for Machine Performance Degradation Prognosis. IEEE Trans. Ind. Electron. 68 (12) (2021)
Jianjing Zhang, Peng Wang, Robert X. Gao
Hybrid machine learning for human action recognition and prediction in assembly. Robotics Comput. Integr. Manuf. 72 (2021)
Dezun Zhao, Weidong Cheng, Robert X. Gao, Ruqiang Yan, Peng Wang
Generalized Vold-Kalman Filtering for Nonstationary Compound Faults Feature Extraction of Bearing and Gear. IEEE Trans. Instrum. Meas. 69 (2) (2020)
Siyu Shao, Ruqiang Yan, Yadong Lu, Peng Wang, Robert X. Gao
DCNN-Based Multi-Signal Induction Motor Fault Diagnosis. IEEE Trans. Instrum. Meas. 69 (6) (2020)
Ruqiang Yan, Xuefeng Chen, Peng Wang, Darian M. Onchis
Deep learning for fault diagnosis and prognosis in manufacturing systems. Comput. Ind. 110 (2019)
Jianjing Zhang, Peng Wang, Robert X. Gao
Deep learning-based tensile strength prediction in fused deposition modeling. Comput. Ind. 107 (2019)
Peng Wang, Robert X. Gao
Lévy Process-Based Stochastic Modeling for Machine Performance Degradation Prognosis. IECON (2018)
Peng Wang, Robert X. Gao
Automated Performance Tracking for Heat Exchangers in HVAC. IEEE Trans Autom. Sci. Eng. 14 (2) (2017)
Rui Zhao, Ruqiang Yan, Zhenghua Chen, Kezhi Mao, Peng Wang, Robert X. Gao
Deep Learning and Its Applications to Machine Health Monitoring: A Survey. CoRR (2016)
Dongyu Wu, Peng Wang, Xingwu Zhang, Ruqiang Yan, Robert X. Gao
A correlation-based approach to trustworthy sensing for cyber-physical systems. I2MTC (2016)
Chuang Sun, Peng Wang, Ruqiang Yan, Robert X. Gao
A sparse approach to fault severity classification for gearbox monitoring. FUSION (2016)
Zhaoyan Fan, Robert X. Gao, Peng Wang, David O. Kazmer
Multi-sensor data fusion for improved measurement accuracy in injection molding. I2MTC (2016)
Peng Wang, Robert X. Gao, Zhaoyan Fan
Switching local search particle filtering for heat exchanger degradation prognosis. I2MTC (2015)