Pingfeng Wang

35 papers Journal 30Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exploring multi-fidelity networks and adapting their architecture: A paradigm for enhanced learning and efficiency.
Comput. Ind. Eng.
Bayan Hamdan, Pingfeng Wang
2025 J jnl
Multi-fidelity physics-informed convolutional neural network for heat map prediction of battery packs.
Reliab. Eng. Syst. Saf.
Yuan Jiang, Zheng Liu, Pouya Kabirzadeh, Yulun Wu, Yumeng Li, Nenad Miljkovic, Pingfeng Wang
2025 J jnl
Partial discharge diagnosis in electric motor with digital twin model-enhanced ensemble learning.
Reliab. Eng. Syst. Saf.
Sara Kohtz, Anabel Renteria, Aaron Rodriguez, Anand Lalwani, Anjana M. Samarakoon, Kiruba Sivasubramaniam Haran, Debbie G. Senesky, Pingfeng Wang
2025 J jnl
Physics-informed machine learning for system reliability analysis and design with partially observed information.
Reliab. Eng. Syst. Saf.
Yanwen Xu, Parth Bansal, Pingfeng Wang, Yumeng Li
2024 J jnl
An Iterative Adaptive Vold-Kalman Filter for Nonstationary Signal Decomposition in Mechatronic Transmission Fault Diagnosis Under Variable Speed Conditions.
IEEE Trans. Ind. Informatics
Yuan Jiang, Yuejian Chen, Pingfeng Wang
2024 J jnl
Cooling-Guide Diffusion Model for Battery Cell Arrangement.
CoRR
Nicholas Sung, Liu Zheng, Pingfeng Wang, Faez Ahmed
2024 J jnl
Optimal sensor placement for permanent magnet synchronous motor condition monitoring using a digital twin-assisted fault diagnosis approach.
Reliab. Eng. Syst. Saf.
Sara Kohtz, Junhan Zhao, Anabel Renteria, Anand Lalwani, Yanwen Xu, Xiaolong Zhang, Kiruba Sivasubramaniam Haran, Debbie G. Senesky, Pingfeng Wang
2024 J jnl
Physics-informed Machine Learning for Battery Pack Thermal Management.
CoRR
Zheng Liu, Yuan Jiang, Yumeng Li, Pingfeng Wang
2023 J jnl
Adaptive machine learning with physics-based simulations for mean time to failure prediction of engineering systems.
Reliab. Eng. Syst. Saf.
Hao Wu, Yanwen Xu, Zheng Liu, Yumeng Li, Pingfeng Wang
2023 J jnl
Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges.
Reliab. Eng. Syst. Saf.
Yanwen Xu, Sara Kohtz, Jessica Boakye, Paolo Gardoni, Pingfeng Wang
2023 J jnl
Spectral Graph Clustering for Intentional Islanding Operations in Resilient Hybrid Energy Systems.
IEEE Trans. Ind. Informatics
Jiaxin Wu, Xin Chen, Sobhan Badakhshan, Jie Zhang, Pingfeng Wang
2022 J jnl
Adaptive surrogate models with partially observed information.
Reliab. Eng. Syst. Saf.
Yanwen Xu, Anabel Renteria, Pingfeng Wang
2022 J jnl
Graph Learning based Generative Design for Resilience of Interdependent Network Systems.
CoRR
Jiaxin Wu, Pingfeng Wang
2022 J jnl
Spectral Graph Clustering for Intentional Islanding Operations in Resilient Hybrid Energy Systems.
CoRR
Jiaxin Wu, Xin Chen, Sobhan Badakhshan, Jie Zhang, Pingfeng Wang
2021 J jnl
Battery asset management with cycle life prognosis.
Reliab. Eng. Syst. Saf.
Xinyang Liu, Zhuoyuan Zheng, I. Esra Büyüktahtakin, Zhi Zhou, Pingfeng Wang
2021 J jnl
Risk-averse optimization for resilience enhancement of complex engineering systems under uncertainties.
Reliab. Eng. Syst. Saf.
Jiaxin Wu, Pingfeng Wang
2020 — conf
A Comparison Study of Machine Learning Enabled Filtering Methods for Battery Management.
ICPHM
Sara Kohtz, Pingfeng Wang
2020 J jnl
Battery Asset Management with Cycle Life Prognosis.
CoRR
Xinyang Liu, Pingfeng Wang, Esra Büyüktahtakin Toy, Zhi Zhou
2020 J jnl
Risk-Averse Optimization for Resilience Enhancement of Complex Engineering Systems under Uncertainties.
CoRR
Jiaxin Wu, Pingfeng Wang
2019 — conf
Surrogate Model Assisted Design of Silicon Anode Considering Lithiation Induced Stresses.
IRPS
Zhuoyuan Zheng, Bo Chen, Yashraj Gurumukhi, John Cook, Mehmet N. Ates, Nenad Miljkovic, Paul V. Braun, Pingfeng Wang
2018 J jnl
A control-guided failure restoration framework for the design of resilient engineering systems.
Reliab. Eng. Syst. Saf.
Nita Yodo, Pingfeng Wang
2018 J jnl
Enabling Resilience of Complex Engineered Systems Using Control Theory.
IEEE Trans. Reliab.
Nita Yodo, Pingfeng Wang, Melvin Rafi
2017 J jnl
Predictive Resilience Analysis of Complex Systems Using Dynamic Bayesian Networks.
IEEE Trans. Reliab.
Nita Yodo, Pingfeng Wang, Zhi Zhou
2016 J jnl
Prognostics Using an Adaptive Self-Cognizant Dynamic System Approach.
IEEE Trans. Reliab.
Guangxing Bai, Pingfeng Wang
2015 J jnl
A double-loop adaptive sampling approach for sensitivity-free dynamic reliability analysis.
Reliab. Eng. Syst. Saf.
Zequn Wang, Pingfeng Wang
2015 — conf
Battery prognostics using a self-cognizant dynamic system approach.
ICPHM
Guangxing Bai, Pingfeng Wang
2015 — conf
Modeling of corrosion pit growth for prognostics and health management.
ICPHM
Chaoyang Xie, Fayuan Wei, Pingfeng Wang, Hongzhong Huang
2015 — conf
Probability of corrosion failure analysis using an adaptive sampling approach.
ICPHM
Chaoyang Xie, Pingfeng Wang, Zequn Wang, Hongzhong Huang
2014 J jnl
A copula-based sampling method for data-driven prognostics.
Reliab. Eng. Syst. Saf.
Zhimin Xi, Rong Jing, Pingfeng Wang, Chao Hu
2014 J jnl
Health diagnostics using multi-attribute classification fusion.
Eng. Appl. Artif. Intell.
Pingfeng Wang, Prasanna Tamilselvan, Chao Hu
2014 J jnl
Performance Degradation Assessment of Rolling Element Bearings Based on an Index Combining SVD and Information Exergy.
Entropy
Bin Zhang, Lijun Zhang, Jinwu Xu, Pingfeng Wang
2013 J jnl
A multi-attribute classification fusion system for insulated gate bipolar transistor diagnostics.
Microelectron. Reliab.
Prasanna Tamilselvan, Pingfeng Wang, Michael G. Pecht
2013 J jnl
A new approach for reliability analysis with time-variant performance characteristics.
Reliab. Eng. Syst. Saf.
Zequn Wang, Pingfeng Wang
2013 J jnl
Failure diagnosis using deep belief learning based health state classification.
Reliab. Eng. Syst. Saf.
Prasanna Tamilselvan, Pingfeng Wang
2012 J jnl
Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life.
Reliab. Eng. Syst. Saf.
Chao Hu, Byeng D. Youn, Pingfeng Wang, Joung Taek Yoon