Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life. - Chao Hu; Byeng D. Youn; Pingfeng Wang; Joung Taek Yoon (Reliab. Eng. Syst. Saf., 2012)

A multi-attribute classification fusion system for insulated gate bipolar transistor diagnostics. - Prasanna Tamilselvan; Pingfeng Wang; Michael G. Pecht (Microelectron. Reliab., 2013)

Failure diagnosis using deep belief learning based health state classification. - Prasanna Tamilselvan; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2013)

A new approach for reliability analysis with time-variant performance characteristics. - Zequn Wang; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2013)

Health diagnostics using multi-attribute classification fusion. - Pingfeng Wang; Prasanna Tamilselvan; Chao Hu (Eng. Appl. Artif. Intell., 2014)

Performance Degradation Assessment of Rolling Element Bearings Based on an Index Combining SVD and Information Exergy. - Bin Zhang; Lijun Zhang 007; Jinwu Xu; Pingfeng Wang (Entropy, 2014)

A copula-based sampling method for data-driven prognostics. - Zhimin Xi; Rong Jing 002; Pingfeng Wang; Chao Hu (Reliab. Eng. Syst. Saf., 2014)

Battery prognostics using a self-cognizant dynamic system approach. - Guangxing Bai; Pingfeng Wang (ICPHM, 2015)

Modeling of corrosion pit growth for prognostics and health management. - Chaoyang Xie; Fayuan Wei; Pingfeng Wang; Hongzhong Huang (ICPHM, 2015)

Probability of corrosion failure analysis using an adaptive sampling approach. - Chaoyang Xie; Pingfeng Wang; Zequn Wang; Hongzhong Huang (ICPHM, 2015)

A double-loop adaptive sampling approach for sensitivity-free dynamic reliability analysis. - Zequn Wang; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2015)

Prognostics Using an Adaptive Self-Cognizant Dynamic System Approach. - Guangxing Bai; Pingfeng Wang (IEEE Trans. Reliab., 2016)

Predictive Resilience Analysis of Complex Systems Using Dynamic Bayesian Networks. - Nita Yodo; Pingfeng Wang; Zhi Zhou 006 (IEEE Trans. Reliab., 2017)

A control-guided failure restoration framework for the design of resilient engineering systems. - Nita Yodo; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2018)

Enabling Resilience of Complex Engineered Systems Using Control Theory. - Nita Yodo; Pingfeng Wang; Melvin Rafi (IEEE Trans. Reliab., 2018)

Surrogate Model Assisted Design of Silicon Anode Considering Lithiation Induced Stresses. - Zhuoyuan Zheng; Bo Chen; Yashraj Gurumukhi; John Cook; Mehmet N. Ates; Nenad Miljkovic; Paul V. Braun; Pingfeng Wang (IRPS, 2019)

A Comparison Study of Machine Learning Enabled Filtering Methods for Battery Management. - Sara Kohtz; Pingfeng Wang (ICPHM, 2020)

Battery Asset Management with Cycle Life Prognosis. - Xinyang Liu; Pingfeng Wang; Esra Büyüktahtakin Toy; Zhi Zhou 006 (CoRR, 2020)

Battery asset management with cycle life prognosis. - Xinyang Liu; Zhuoyuan Zheng; I. Esra Büyüktahtakin; Zhi Zhou 006; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2021)

Risk-averse optimization for resilience enhancement of complex engineering systems under uncertainties. - Jiaxin Wu; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2021)

Graph Learning based Generative Design for Resilience of Interdependent Network Systems. - Jiaxin Wu; Pingfeng Wang (CoRR, 2022)

Adaptive surrogate models with partially observed information. - Yanwen Xu; Anabel Renteria; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2022)

Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges. - Yanwen Xu; Sara Kohtz; Jessica Boakye; Paolo Gardoni; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2023)

Spectral Graph Clustering for Intentional Islanding Operations in Resilient Hybrid Energy Systems. - Jiaxin Wu; Xin Chen 026; Sobhan Badakhshan; Jie Zhang 054; Pingfeng Wang (IEEE Trans. Ind. Informatics, 2023)

Adaptive machine learning with physics-based simulations for mean time to failure prediction of engineering systems. - Hao Wu; Yanwen Xu; Zheng Liu; Yumeng Li; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2023)

Cooling-Guide Diffusion Model for Battery Cell Arrangement. - Nicholas Sung; Liu Zheng; Pingfeng Wang; Faez Ahmed (CoRR, 2024)

Physics-informed Machine Learning for Battery Pack Thermal Management. - Zheng Liu; Yuan Jiang; Yumeng Li; Pingfeng Wang (CoRR, 2024)

Optimal sensor placement for permanent magnet synchronous motor condition monitoring using a digital twin-assisted fault diagnosis approach. - Sara Kohtz; Junhan Zhao; Anabel Renteria; Anand Lalwani; Yanwen Xu; Xiaolong Zhang; Kiruba Sivasubramaniam Haran; Debbie G. Senesky; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2024)

An Iterative Adaptive Vold-Kalman Filter for Nonstationary Signal Decomposition in Mechatronic Transmission Fault Diagnosis Under Variable Speed Conditions. - Yuan Jiang; Yuejian Chen; Pingfeng Wang (IEEE Trans. Ind. Informatics, 2024)

Multi-fidelity physics-informed convolutional neural network for heat map prediction of battery packs. - Yuan Jiang; Zheng Liu; Pouya Kabirzadeh; Yulun Wu; Yumeng Li; Nenad Miljkovic; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2025)

Partial discharge diagnosis in electric motor with digital twin model-enhanced ensemble learning. - Sara Kohtz; Anabel Renteria; Aaron Rodriguez; Anand Lalwani; Anjana M. Samarakoon; Kiruba Sivasubramaniam Haran; Debbie G. Senesky; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2025)

Physics-informed machine learning for system reliability analysis and design with partially observed information. - Yanwen Xu; Parth Bansal; Pingfeng Wang; Yumeng Li (Reliab. Eng. Syst. Saf., 2025)