RASA

Selected Articles in Journals

• Cui, T., Allison, J.T., and Wang, P., "A Comparative Study of Formulations and Algorithms for Reliability-based Co-Design Problems," Journal of Mechanical Design, 2019. doi.org/10.1115/1.4045299.
• Sharpe, C., Wiest, T., Wang, P., and Seepersad, C., "A Comparative Evaluation of Supervised Machine Learning Classification Techniques for Engineering Design Applications," Journal of Mechanical Design, 2019. doi.org/10.1115/1.4044524.
• Eshghi, A. T., Lee, S., Jung, H-J, Wang, P., "Design of structural monitoring sensor network using surrogate modeling of stochastic sensor signal," Mechanical Systems and Signal Processing, vol. 133, 106280, 2019.
• Zheng, Z., Chen, B., Fritz, N., Gurumukhi, Y., Cook, J., Ates, M., Miljkovic, N., Braun, P.V., and Wang, P., "Lithiation Induced Stress Concentration for 3D Metal Scaffold Structured Silicon Anodes," J. Electrochem. Soc. vol. 166, no.10, A2083-A2090, 2019.
• Wu, J., and Wang, P., "A Comparison of Control Strategies for Disruption Management in Engineering Design for Resilience," ASCE. ASME J. Risk Uncertainty Part B. 5(2), 020902 (11), 2019.
• Fan, X., Wang, P., and Hao, F., "Reliability-based design optimization of crane bridges using Kriging-based surrogate models," Struct. Multidiscipl. Optim., 59(3), 993–1005, 2019.
• Yodo, N., and Wang, P., "A Control-Guided Failure Restoration Framework for the Design of Resilient Engineering Systems," Reliability Engineering and Systems Safety, vol.178, pp.179-190, 2018.
• Yodo, N., Wang, P., and Rafi, M., "Enabling Resilience of Complex Engineered Systems Using Control Theory," IEEE Trans. On Reliability, 67(1), 53-65, 2017.
• Yodo, N., Wang, P., and Zhou, Z., "Predictive Resilience Analysis of Complex Systems Using Dynamic Bayesian Networks," IEEE Trans. On Reliability, 66(3), 761-770, 2017.
• Bai, G., and Wang, P., "Prognostics Using An Adaptive Self-Cognizant Dynamic System Approach," IEEE Trans. on Reliability, 65(3), 1427-1437, 2016.
• Yodo, N., and Wang, P., "Engineering Resilience Quantification and System Design Implications: A Literature Survey," Journal of Mechanical Design, 138(11), 111408, 2016.
• Bai, G., and Wang, P., "An Internal State Variable Mapping Approach for Li-Plating Diagnosis," Power Sources, Vol. 323, pp.115-124, 2016.
• Yodo, N., and Wang, P., “Engineering Resilience Allocation for Early State Design of Complex Engineered Systems," Journal of Mechanical Design, 138(9), 091402, 2016.
• Wang, Z., and Wang, P., "Accelerated Failure Identification Sampling for Probability Analysis of Rare Failure Events," Struct. Multidiscipl. Optim. 54(1), 137-149, 2016.
• Yodo, N., and Wang, P., "Resilience Modeling and Quantification for Engineering Systems Using Bayesian Networks," Journal of Mechanical Design, 138(3), 031404, 2016.
• Xie, C., Wang, P., Wang, Z., and Huang, H-Z., "Corrosion Reliability Analysis Considering the Coupled Effect of Mechanical Stresses," ASME J. Risk Uncertainty, Part B, 2(3), 031001(9), 2016.
• Wu, X., He, J., Ellis, J., Choi, W., Wang, P., and Peng, K., “Which is a Better In-Vehicle Information Display? A Comparison of Google Glass and Smartphones,” IEEE Journal of Display Technology, 12(11), 1364 – 1371, 2016.
• Almaktoom, A.T., Krishnan, K., and Wang, P., "Cost Efficient Robust Global Supply Chain System Design under Uncertainty," International Journal of Advanced Manufacturing Technology, 85(1), pp. 853-868, 2016.
• Wang, P., Wang, Z., Youn, B., and Lee, S., "Reliability-based Robust Design of Smart Sensing Systems for Failure Diagnostics Using Piezoelectric Materials," Computers & Structures, vol.156, pp.110-121, 2015.
• Wang, Z., and Wang, P., "A Double-Loop Adaptive Sampling Approach for Sensitivity-Free Dynamic Reliability Analysis," Reliability Engineering and System Safety, vol.142, pp.346-456, 2015.
• Hu, C., Youn, B., Kim, T., and Wang, P., " A co-training based approach for prediction of remaining useful life utilizing both failure and suspension data", Mechanical Systems & Signal Processing, Vol. 62-63, pp.75-90, 2015.
• Bai, G., Wang, P., and Hu, C., "A Self-Cognizant Dynamic System Approach for Prognostics and Health Management", Power Sources, Vol. 278, 15, pp. 163-174, 2015.
• Tamilselvan, P., and Wang, P., "A Tri-fold Hybrid Classification Approach for Diagnostics with Unexampled Faulty States", Mechanical Systems & Signal Processing, Vol. 50–51, pp.437–455, 2015.
• Wang, Z., and Wang, P., "An Integrated Performance Measure Approach for System Reliability Analysis," Journal of Mechanical Design, 137(2), 021406, 2015.
• Bai, G., Wang, P., Hu, C., and Pecht, M., "A Generic Model-Free Approach for Lithium-ion Battery Health Management," Applied Energy, vol. 135, pp. 247-260, 2014.
• Wang, P., Youn, B., Hu, C., Ha, J.M., and Jeon, B., "A Probabilistic Detectability-Based Sensor Network Design Method for System Health Monitoring and Prognostics," Journal of Intelligent Material Systems and Structures, 2014. DOI: 10.1177/1045389X14541496.
• Wang, P., Wang, Z., and Almaktoom, A.T., “Dynamic Reliability-based Robust Design Optimization with Time-Variant Probabilistic Constraints,” Engineering Optimization, vol. 46, issue 6, pp. 784-809, 2014.
• Wang, P., Tamilselvan, P. *, and Hu, C., "Health Diagnostics Using Multi-Attribute Classification Fusion," Engineering Applications of Artificial Intelligence, vol.32, pp.192-202, 2014.
• Zhang, B., Zhang, L., Xu, J., and Wang, P., "Performance Degradation Assessment of Rolling Element Bearings Based on an Index Combining SVD and Information Exergy," Entropy, 16(10), 5400-5415, 2014.
• Xi, Z., Jing, R., Wang, P., and Hu, C., "A Copula-Based Sampling Method for Data-Driven Prognostics and Health Management", Reliability Engineering and System Safety, vol.132, pp. 72-82, 2014.