Failure diagnosis using deep belief learning based health state classification P Tamilselvan, P Wang Reliability Engineering & System Safety 115, 124-135, 2013 | 701 | 2013 |
Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life C Hu, BD Youn, P Wang, JT Yoon Reliability Engineering & System Safety 103, 120-135, 2012 | 440 | 2012 |
A nested extreme response surface approach for time-dependent reliability-based design optimization Z Wang, P Wang Journal of Mechanical Design 134 (12), 121007, 2012 | 270 | 2012 |
Resilience-driven system design of complex engineered systems BD Youn, C Hu, P Wang | 265 | 2011 |
Engineering resilience quantification and system design implications: A literature survey N Yodo, P Wang Journal of Mechanical Design 138 (11), 111408, 2016 | 250 | 2016 |
A generic probabilistic framework for structural health prognostics and uncertainty management P Wang, BD Youn, C Hu Mechanical Systems and Signal Processing 28, 622-637, 2012 | 210 | 2012 |
Eigenvector dimension reduction (EDR) method for sensitivity-free probability analysis BD Youn, Z Xi, P Wang Structural and Multidisciplinary Optimization 37 (1), 13-28, 2008 | 193 | 2008 |
A maximum confidence enhancement based sequential sampling scheme for simulation-based design Z Wang, P Wang Journal of Mechanical Design 136 (2), 021006, 2014 | 179 | 2014 |
Bayesian reliability-based design optimization using eigenvector dimension reduction (EDR) method BD Youn, P Wang Structural and Multidisciplinary Optimization 36, 107-123, 2008 | 145 | 2008 |
A generic model-free approach for lithium-ion battery health management G Bai, P Wang, C Hu, M Pecht Applied Energy 135, 247-260, 2014 | 140 | 2014 |
Resilience modeling and quantification for engineered systems using Bayesian networks N Yodo, P Wang Journal of Mechanical Design 138 (3), 031404, 2016 | 138 | 2016 |
A new approach for reliability analysis with time-variant performance characteristics Z Wang, P Wang Reliability Engineering & System Safety 115, 70-81, 2013 | 132 | 2013 |
Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges Y Xu, S Kohtz, J Boakye, P Gardoni, P Wang Reliability Engineering & System Safety, 108900, 2022 | 109 | 2022 |
Bayesian reliability analysis with evolving, insufficient, and subjective data sets P Wang, BD Youn, Z Xi, A Kloess | 108 | 2009 |
A double-loop adaptive sampling approach for sensitivity-free dynamic reliability analysis Z Wang, P Wang Reliability Engineering & System Safety 142, 346-356, 2015 | 105 | 2015 |
Predictive resilience analysis of complex systems using dynamic Bayesian networks N Yodo, P Wang, Z Zhou IEEE Transactions on Reliability 66 (3), 761-770, 2017 | 98 | 2017 |
A copula-based sampling method for data-driven prognostics Z Xi, R Jing, P Wang, C Hu Reliability Engineering & System Safety 132, 72-82, 2014 | 97* | 2014 |
Complementary intersection method for system reliability analysis BD Youn, P Wang Journal of Mechanical Design 131 (4), 2009 | 78 | 2009 |
Deep belief network based state classification for structural health diagnosis P Tamilselvan, Y Wang, P Wang 2012 IEEE Aerospace Conference, 1-11, 2012 | 72 | 2012 |
A generalized complementary intersection method (GCIM) for system reliability analysis P Wang, C Hu, BD Youn | 65 | 2011 |