Switching local search particle filtering for heat exchanger degradation prognosis. - Peng Wang 019; Robert X. Gao; Zhaoyan Fan (I2MTC, 2015)

A sparse approach to fault severity classification for gearbox monitoring. - Chuang Sun 001; Peng Wang 019; Ruqiang Yan 001; Robert X. Gao (FUSION, 2016)

Multi-sensor data fusion for improved measurement accuracy in injection molding. - Zhaoyan Fan; Robert X. Gao; Peng Wang 019; David O. Kazmer (I2MTC, 2016)

A correlation-based approach to trustworthy sensing for cyber-physical systems. - Dongyu Wu; Peng Wang 019; Xingwu Zhang; Ruqiang Yan 001; Robert X. Gao (I2MTC, 2016)

Deep Learning and Its Applications to Machine Health Monitoring: A Survey. - Rui Zhao 004; Ruqiang Yan 001; Zhenghua Chen; Kezhi Mao; Peng Wang 019; Robert X. Gao (CoRR, 2016)

Automated Performance Tracking for Heat Exchangers in HVAC. - Peng Wang 019; Robert X. Gao (IEEE Trans Autom. Sci. Eng., 2017)

Lévy Process-Based Stochastic Modeling for Machine Performance Degradation Prognosis. - Peng Wang 019; Robert X. Gao (IECON, 2018)

Deep learning for fault diagnosis and prognosis in manufacturing systems. - Ruqiang Yan 001; Xuefeng Chen 002; Peng Wang 019; Darian M. Onchis (Comput. Ind., 2019)

Deep learning-based tensile strength prediction in fused deposition modeling. - Jianjing Zhang; Peng Wang 019; Robert X. Gao (Comput. Ind., 2019)

DCNN-Based Multi-Signal Induction Motor Fault Diagnosis. - Siyu Shao; Ruqiang Yan 001; Yadong Lu; Peng Wang 019; Robert X. Gao (IEEE Trans. Instrum. Meas., 2020)

Generalized Vold-Kalman Filtering for Nonstationary Compound Faults Feature Extraction of Bearing and Gear. - Dezun Zhao; Weidong Cheng; Robert X. Gao; Ruqiang Yan 001; Peng Wang 019 (IEEE Trans. Instrum. Meas., 2020)

Digital Twin for Human-Robot Interactive Welding and Welder Behavior Analysis. - Qiyue Wang; Wenhua Jiao; Peng Wang 019; YuMing Zhang (IEEE CAA J. Autom. Sinica, 2021)

Hybrid machine learning for human action recognition and prediction in assembly. - Jianjing Zhang; Peng Wang 019; Robert X. Gao (Robotics Comput. Integr. Manuf., 2021)

Lévy Process-Based Stochastic Modeling for Machine Performance Degradation Prognosis. - Peng Wang 019; Robert X. Gao; Wojbor A. Woyczynski (IEEE Trans. Ind. Electron., 2021)

Improved Representations for Continual Learning of Novel Motor Health Conditions through Few-Shot Prototypical Networks. - Matthew Russell; Peng Wang 019 (CASE, 2022)

Monitoring of Backside Weld Bead Width from High Dynamic Range Images Using CNN Network. - Rui Yu; Joseph Kershaw; Peng Wang 019; YuMing Zhang (CoDIT, 2022)

How to Accurately Monitor the Weld Penetration From Dynamic Weld Pool Serial Images Using CNN-LSTM Deep Learning Model? - Rui Yu; Joseph Kershaw; Peng Wang 019; YuMing Zhang (IEEE Robotics Autom. Lett., 2022)

Maximizing Model Generalization for Manufacturing with Self-Supervised Learning and Federated Learning. - Matthew Russell; Peng Wang 019 (CoRR, 2023)

Mixed-Up Experience Replay for Adaptive Online Condition Monitoring. - Matthew Russell; Peng Wang 019; Shaopeng Liu; I. S. Jawahir (IEEE Trans. Ind. Electron., 2024)

Comparison and explanation of data-driven modeling for weld quality prediction in resistance spot welding. - Matthew Russell; Joseph Kershaw; Yujun Xia; Tianle Lv; Yongbing Li; Hassan Ghassemi-Armaki; Blair E. Carlson; Peng Wang 019 (J. Intell. Manuf., 2024)