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2020 – today
- 2025
[j21]Yanwen Xu, Parth Bansal, Pingfeng Wang
, Yumeng Li:
Physics-informed machine learning for system reliability analysis and design with partially observed information. Reliab. Eng. Syst. Saf. 254: 110598 (2025)- 2024
- [j20]Sara Kohtz, Junhan Zhao, Anabel Renteria, Anand Lalwani, Yanwen Xu, Xiaolong Zhang, Kiruba Sivasubramaniam Haran, Debbie G. Senesky, Pingfeng Wang:
Optimal sensor placement for permanent magnet synchronous motor condition monitoring using a digital twin-assisted fault diagnosis approach. Reliab. Eng. Syst. Saf. 242: 109714 (2024) - [j19]Yuan Jiang, Yuejian Chen, Pingfeng Wang:
An Iterative Adaptive Vold-Kalman Filter for Nonstationary Signal Decomposition in Mechatronic Transmission Fault Diagnosis Under Variable Speed Conditions. IEEE Trans. Ind. Informatics 20(8): 10510-10519 (2024) - [i5]Nicholas Sung, Liu Zheng, Pingfeng Wang, Faez Ahmed:
Cooling-Guide Diffusion Model for Battery Cell Arrangement. CoRR abs/2403.10566 (2024) - 2023
- [j18]Yanwen Xu, Sara Kohtz, Jessica Boakye, Paolo Gardoni, Pingfeng Wang:
Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges. Reliab. Eng. Syst. Saf. 230: 108900 (2023) - [j17]Hao Wu, Yanwen Xu, Zheng Liu, Yumeng Li, Pingfeng Wang:
Adaptive machine learning with physics-based simulations for mean time to failure prediction of engineering systems. Reliab. Eng. Syst. Saf. 240: 109553 (2023) - [j16]Jiaxin Wu, Xin Chen, Sobhan Badakhshan, Jie Zhang, Pingfeng Wang:
Spectral Graph Clustering for Intentional Islanding Operations in Resilient Hybrid Energy Systems. IEEE Trans. Ind. Informatics 19(4): 5956-5964 (2023) - 2022
- [j15]Yanwen Xu, Anabel Renteria, Pingfeng Wang:
Adaptive surrogate models with partially observed information. Reliab. Eng. Syst. Saf. 225: 108566 (2022) - [i4]Jiaxin Wu, Xin Chen, Sobhan Badakhshan, Jie Zhang, Pingfeng Wang:
Spectral Graph Clustering for Intentional Islanding Operations in Resilient Hybrid Energy Systems. CoRR abs/2203.06579 (2022) - [i3]Jiaxin Wu, Pingfeng Wang:
Graph Learning based Generative Design for Resilience of Interdependent Network Systems. CoRR abs/2207.00931 (2022) - 2021
- [j14]Jiaxin Wu, Pingfeng Wang:
Risk-averse optimization for resilience enhancement of complex engineering systems under uncertainties. Reliab. Eng. Syst. Saf. 215: 107836 (2021) - [j13]Xinyang Liu, Zhuoyuan Zheng, I. Esra Büyüktahtakin, Zhi Zhou, Pingfeng Wang:
Battery asset management with cycle life prognosis. Reliab. Eng. Syst. Saf. 216: 107948 (2021) - 2020
- [c5]Sara Kohtz, Pingfeng Wang:
A Comparison Study of Machine Learning Enabled Filtering Methods for Battery Management. ICPHM 2020: 1-6 - [i2]Jiaxin Wu, Pingfeng Wang:
Risk-Averse Optimization for Resilience Enhancement of Complex Engineering Systems under Uncertainties. CoRR abs/2009.02351 (2020) - [i1]Xinyang Liu, Pingfeng Wang, Esra Büyüktahtakin Toy, Zhi Zhou:
Battery Asset Management with Cycle Life Prognosis. CoRR abs/2011.14903 (2020)
2010 – 2019
- 2019
- [c4]Zhuoyuan Zheng, Bo Chen, Yashraj Gurumukhi, John Cook, Mehmet N. Ates, Nenad Miljkovic, Paul V. Braun, Pingfeng Wang:
Surrogate Model Assisted Design of Silicon Anode Considering Lithiation Induced Stresses. IRPS 2019: 1-6 - 2018
- [j12]Nita Yodo, Pingfeng Wang:
A control-guided failure restoration framework for the design of resilient engineering systems. Reliab. Eng. Syst. Saf. 178: 179-190 (2018) - [j11]Nita Yodo, Pingfeng Wang, Melvin Rafi:
Enabling Resilience of Complex Engineered Systems Using Control Theory. IEEE Trans. Reliab. 67(1): 53-65 (2018) - 2017
- [j10]Nita Yodo, Pingfeng Wang, Zhi Zhou:
Predictive Resilience Analysis of Complex Systems Using Dynamic Bayesian Networks. IEEE Trans. Reliab. 66(3): 761-770 (2017) - 2016
- [j9]Guangxing Bai, Pingfeng Wang:
Prognostics Using an Adaptive Self-Cognizant Dynamic System Approach. IEEE Trans. Reliab. 65(3): 1427-1437 (2016) - 2015
- [j8]Zequn Wang, Pingfeng Wang:
A double-loop adaptive sampling approach for sensitivity-free dynamic reliability analysis. Reliab. Eng. Syst. Saf. 142: 346-356 (2015) - [c3]Guangxing Bai, Pingfeng Wang:
Battery prognostics using a self-cognizant dynamic system approach. ICPHM 2015: 1-10 - [c2]Chaoyang Xie, Fayuan Wei, Pingfeng Wang, Hongzhong Huang:
Modeling of corrosion pit growth for prognostics and health management. ICPHM 2015: 1-7 - [c1]Chaoyang Xie, Pingfeng Wang, Zequn Wang, Hongzhong Huang:
Probability of corrosion failure analysis using an adaptive sampling approach. ICPHM 2015: 1-8 - 2014
- [j7]Pingfeng Wang, Prasanna Tamilselvan, Chao Hu:
Health diagnostics using multi-attribute classification fusion. Eng. Appl. Artif. Intell. 32: 192-202 (2014) - [j6]Bin Zhang, Lijun Zhang, Jinwu Xu, Pingfeng Wang:
Performance Degradation Assessment of Rolling Element Bearings Based on an Index Combining SVD and Information Exergy. Entropy 16(10): 5400-5415 (2014) - [j5]Zhimin Xi, Rong Jing, Pingfeng Wang, Chao Hu:
A copula-based sampling method for data-driven prognostics. Reliab. Eng. Syst. Saf. 132: 72-82 (2014) - 2013
- [j4]Prasanna Tamilselvan, Pingfeng Wang, Michael G. Pecht:
A multi-attribute classification fusion system for insulated gate bipolar transistor diagnostics. Microelectron. Reliab. 53(8): 1117-1129 (2013) - [j3]Zequn Wang, Pingfeng Wang:
A new approach for reliability analysis with time-variant performance characteristics. Reliab. Eng. Syst. Saf. 115: 70-81 (2013) - [j2]Prasanna Tamilselvan, Pingfeng Wang:
Failure diagnosis using deep belief learning based health state classification. Reliab. Eng. Syst. Saf. 115: 124-135 (2013) - 2012
- [j1]Chao Hu, Byeng D. Youn, Pingfeng Wang, Joung Taek Yoon:
Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life. Reliab. Eng. Syst. Saf. 103: 120-135 (2012)
Coauthor Index
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