1. Nemani V., Hu C., Novak C., and Zimmerman A., “A Hybrid Deep Learning Model for Bearing Failure Prognostics,” Invention Disclosure to the Office of Intellectual Property and Technology Transfer at Iowa State University, ISURF Ref. No. 05122, 2020.
  2. Sadoughi M., Lu H., Hu C., Shawn K., Sidon J., and Brett B., “Fault Detection Technique for a Bearing,” Provisional Patent Filed, US Patent Application No. 63/025565, 2020.
  3. Louwagie J., Richard S., Viavattine J., Zhang P., and Hu C., “Battery Assembly for Medical Device,” Provisional Patent Filed, US Patent Application No.: 62/835,738, 2019.
  4. Hu C., and Jain G., “Method and System for Predicting Useful Life of a Rechargeable Battery,” US Patent 2015/0349385 A1, 2015.

Books and Chapters

  1. Hu C.Youn B.D., and Wang P., “Engineering Design under Uncertainty and Health Prognostics,” Springer Series in Reliability Engineering, Springer, 2019. [ Link ]
  2. Hu C.Wang P., and Youn B.D., “Advances in System Reliability Analysis under Uncertainty,” Chapter 9 in Numerical Methods for Reliability and Safety Assessment: Multiscale and Multiphysics Systems, Springer, 2015. [ Link ]

Journal Publications

  1. Shen S., Lu H., Sadoughi M., Hu C., Nemani V., Thelen A., Webster K., Darr M., Kenny S., and Sidon J., “A Physics-Informed Deep Learning Approach for Bearing Fault Detection,” Engineering Applications of Artificial Intelligence, v103, 104295 (15pp), 2011. [ DOI ]
  2. Li M., Nemani V.P., Liu J., Lee M.A., Ahmed N., Kremer G.E., and Hu C., “Reliability-Informed Life Cycle Warranty Cost and Life Cycle Analysis of Newly Manufactured and Remanufactured Units,” Accepted, Journal of Mechanical Design, v143, n11, 112001 (14pp), 2021. [ DOI ]
  3. Barzegar V., Laflamme S., Hu C., and Dodson J., “Multi-time Resolution Ensemble LSTMs for Enhanced Feature Extraction in High-Rate Time Series,” Sensors, v21, n6, 1954 (18pp), 2021 [ DOI ]
  4. Li M., Shen S., Barzegar V., Sadoughi M., Hu C., and Laflamme S., “Kriging-Based Reliability Analysis Considering Predictive Uncertainty Reduction,” In Press, Structural and Multidisciplinary Optimization,  2021. [ DOI ]
  5. Gargh P., Sarkar A., Lui Y.H., Shen S., Hu C., Hu S., Nlebedim I.C., and Shrotriya P., “Correlating Capacity Fade with Film Resistance Loss in Fast Charging of Lithium-ion Battery,” Journal of Power Sources, v485, 229360 (7pp), 2021. [ DOI ]
  6. Lui Y., Li M., Downey A., Shen S., Nemani V.P., Ye H., VanElzen C., Jain G., Hu S., Laflamme S., and Hu C., “Physics-Based Prognostics of Implantable-Grade Lithium-Ion Battery for Remaining Useful Life Prediction,” Journal of Power Sources, v485, 229327 (15pp), 2021. [ DOI ]
  7. Liu J., Hu C., Kimber A., and Wang Z., “Uses, Cost-Benefit Analysis, and Markets of Energy Storage Systems for Electric Grid Applications,” Journal of Energy Storage, v32, 101731 (16pp), 2020. [ DOI ]
  8. Sadoughi M., Hu C., Moghadassian B., Sharma A., Beck J., and Mathiesen D., “Sequential Online Dispatch in Design of Experiments for Single- and Multi-Response Surrogate Modeling,” IEEE Transactions on Automation Science and Engineering, v17, n4, p1674–1688, 2020. [ DOI ]
  9. Li M., Sadoughi M., Hu Z., and Hu C., “A Hybrid Gaussian Process Model for System Reliability Analysis,” Reliability Engineering and System Safety, v197, 106816 (15pp), 2020. [ DOI ]
  10. Shen S., Sadoughi M., Li M., Wang Z., and Hu C., “Deep Convolutional Neural Networks with Ensemble Learning and Transfer Learning for Capacity Estimation of Lithium-ion Batteries,” Applied Energy, v260, p114296(14), 2020. [ DOI ]
  11. Giahi R., MacKenzie C., and Hu C., “Design Optimization for Resilience for Risk-Averse Firms,” Computers and Industrial Engineering, v139, 106122 (14pp), 2020. [ DOI ]
  12. Sadoughi M. and Hu C., “Physics-Based Convolutional Neural Network for Fault Diagnosis of Rolling Element Bearings,” IEEE Sensors Journal, v19, n11, p4181–4192, 2019. [ DOI ]
  13. Li M., Sadoughi M., Hu C., Hu Z., Eshghi A.T., and Lee S., “High-Dimensional Reliability-based Design Optimization Involving Highly Nonlinear Constraints and Computationally Expensive Simulations,” Journal of Mechanical Design, v141, n5, 051402 (14pp), 2019. [ DOI ]
  14. Sarkar A., Shrotriya P., Chandra A., and Hu C., “Chemo-Economic Analysis of Battery Aging and Capacity Fade in Lithium-Ion Battery,” Journal of Energy Storage, v25, p100911, 2019. [ DOI ]
  15. Shen S., Sadoughi M., Chen X.Y., Hong M.Y., and Hu C., “A Deep Learning Method for Online Capacity Estimation of Lithium-Ion Batteries,” Journal of Energy Storage, v25, p100817, 2019. [ DOI ]
  16. Downey A., Lui Y., Hu C., Laflamme S., and Hu S., “Physics-Based Prognostics of Lithium-Ion Battery Using Non-linear Least Squares with Dynamic Bounds,” Reliability Engineering and System Safety, v182, p1–12, 2019. [ DOI ]
  17. Li Z., Wu D., Hu C., and Terpenny J., “An Ensemble Learning-based Prognostic Approach with Degradation-Dependent Weights for Remaining Useful Life Prediction,” Reliability Engineering and System Safety, v184, p110–122, 2019. [ DOI ]
  18. Nahvi A., Sadoughi M., Arabzadeh A., Sassani S., Hu C., Ceylan H., and Kim S., “Multi-objective Bayesian Optimization of Super hydrophobic Coatings on Asphalt Concrete Surfaces,” Journal of Computational Design and Engineering, v19, n11, p4181–4192, 2019. [ DOI ]
  19. MacKenzie C. and Hu C., “Decision Making under Uncertainty for Design of Resilient Engineered Systems,” Reliability Engineering and System Safety, v192, 1061719 (10pp), 2019. [ DOI ]
  20. Hu Z., Hu C., Zissimos P.M., and Sankaran M., “Model Discrepancy Quantification in Simulation-based Design of Dynamical Systems,” Journal of Mechanical Design, v141, n1, 011401 (13pp), 2018. [ DOI ]
  21. Downey A., Sadoughi M., Laflamme S., and Hu C., “Incipient Damage Detection for Large Area Structures Monitored with a Network of Soft Elastomeric Capacitors Using Relative Entropy,” IEEE Sensors Journal, v18, n21, p8827–8834, 2018. [ DOI ]
  22. Sadoughi M., Li M., and Hu C., “Multivariate System Reliability Analysis Considering Highly Nonlinear and Dependent Safety Events,” Reliability Engineering and System Safety, v180, p189–200, 2018. [ DOI ]
  23. Hu C., Hui Y., Jain G., and Schmidt C., “Remaining Useful Life Assessment of Lithium-Ion Batteries in Implantable Medical Devices,” Journal of Power Sources, v375, p118–130, 2018.  [ DOI ]
  24. Downey A., Sadoughi M., Laflamme S., and Hu C., “Fusion of sensor geometry into additive strain fields measured with sensing skin,” Smart Materials and Structures, v27, n7, p.075033, 2018. [ DOI ]
  25. Sadoughi M., Li M., Hu C., MacKenzie C., Eshghi A.T., and Lee S., “A High-Dimensional Reliability Analysis Method for Simulation-Based Design Under Uncertainty,” Journal of Mechanical Design, v140, n7, 071401(12), 2018. [ DOI ]
  26. Sadoughi M., Downey A., Yan J., Hu C., and Laflamme S., “Reconstruction of Unidirectional Strain Maps via Iterative Signal Fusion for Mesoscale Structures Monitored by a Sensing Skin,” Mechanical Systems and Signal Processing, v112, p401–416, 2018. [ DOI ]
  27. Li Z., Jiang Y., Guo Q., Hu C., and Peng Z., “Multi-Dimensional Variational Decomposition for Bearing-Crack Detection in Wind Turbines with Large Driving-Speed Variations,” Renewable Energy, v116 (Part B), p55–73, 2018. [ DOI ]
  28. Downey A., Hu C., and Laflamme S., “Optimal Sensor Placement within a Hybrid Dense Sensor Network using an Adaptive Genetic Algorithm with Learning Gene Pool,” Structural Health Monitoring, v17, n3, p450–460, 2018. [ DOI ]
  29. Sadoughi M., Hu C., MacKenzie C., Eshghi A.T., and Lee S., “Sequential Exploration-Exploitation with Dynamic Trade-off for Efficient Reliability Analysis of Complex Engineered Systems,” Structural and Multidisciplinary Optimization, v57, n1, p235–250, 2018. [ DOI ]
  30. Eshghi A.T., Lee S., Sadoughi M., Hu C., and Kim C., “Design Optimization under Uncertainty and Speed Variability for a Piezoelectric Energy Harvester Powering a Tire Pressure Monitoring Sensor,” Smart Materials and Structures, v26, n10, 105037, p1–18, 2017. [ DOI ]
  31. Zhang C., Li Z., Hu C., Chen S., Wang J., and Zhang X., “An Optimized Ensemble Local Mean Decomposition Method for Fault Detection of Mechanical Components,” Measurement Science and Technology, v28, n3, 035102 (15pp), 2017. [ DOI ]
  32. Seong S., Hu C., and Lee S., “Design under Uncertainty for Reliable Power Generation of Piezoelectric Energy Harvester,” Journal of Intelligent Material Systems and Structures,  v28, n17, p2437–2449, 2017. [ DOI ]
  33. Li Z., Jiang Y., Hu C., and Peng Z., “Recent Progress on Decoupling Diagnosis of Hybrid Failures in Gear Transmission Systems Using Vibration Sensor Signal: A Review,” Measurement, v90, p4–19, 2016. [ DOI ]
  34. Jiang Y., Li Z., Zhang C., Hu C., and Peng Z., “On the Bi-Dimensional Variational Decomposition Applied to Nonstationary Vibration Signals for Rolling Bearing Crack Detection in Coal Cutters,” Measurement Science and Technology, v27, n6, p065103, 2016. [ DOI ]
  35. Youn B.D., Park K.M., Hu C.Yoon, J.T., and Bae Y.C., “Statistical Health Reasoning of Water-Cooled Power Generator Stator Bars Against Moisture Absorption,” IEEE Transactions on Energy Conversion, v30, n4, p1–10, 2015. [ DOI ]
  36. Hu C., Jain G., Schmidt C., Strief C., and Sullivan M., “Online Estimation of Lithium-Ion Battery Capacity Using Sparse Bayesian Learning,” Journal of Power Sources, v289, p105–113, 2015. [ DOI ]
  37. Hu C.Youn B.D., Kim T.J., and Wang P., “Semi-Supervised Learning with Co-Training for Data-Driven Prognostics,” Mechanical Systems and Signal Processing, v62–63, p75–90, 2015. [ DOI ]
  38. Bai G., Wang P., and Hu C., “A Self-Cognizant Dynamic System Approach for Prognostics and Health Management,” Journal of Power Sources, v278, p163–174, 2015. [ DOI ]
  39. Wang P., Youn B.D., Hu C., Jong M.H., and Jeon B., “A Probabilistic Detectability-Based Sensor Network Design Method for System Health Monitoring and Prognostics,” Journal of Intelligent Material Systems and Structures, v26, n9, p1079–1090, 2015. [ DOI ]
  40. Bai G., Wang, P., Hu C., and Pecht M., “A Generic Model-Free Approach for Lithium-ion Battery Health Management,” Applied Energy, v135, p247–260, 2014. [ DOI ]
  41. Fathi R., Burns J.C., Stevens D.A., Ye H., Hu C.Jain G., Scott E., Schmidt C., and Dahn J.R., “Ultra High-Precision Studies of Degradation Mechanisms in Aged LiCoO2/Graphite Li-Ion Cells,” Journal of The Electrochemical Society, v161, n10, A1572–A1579, 2014.  [ DOI ]
  42. Hu C.Jain G., Zhang P., Schmidt C., Gomadam P., and Gorka T., “Data-Driven Approach Based on Particle Swarm Optimization and K-Nearest Neighbor Regression for Estimating Capacity of Lithium-Ion Battery,” Applied Energy, v129, p49–55, 2014. [ DOI ]
  43. Hu C.Jain G., Tamirisa P., and Gorka T., “Method for Estimating Capacity and Predicting Remaining Useful Life of Lithium-Ion Battery,” Applied Energy, v126, p182–189, 2014. [ DOI ]
  44. Xi Z., Wang P., Jing R., and Hu C.“A Copula-Based Sampling Method for Data-Driven Prognostics,” Reliability Engineering and System Safety, v132, p72–82, 2014. [ DOI ]
  45. Tamilselvan P., Wang P., and Hu C., “Health Diagnostics Using Multi-Attribute Classification Fusion,” Engineering Applications of Artificial Intelligence, v32, p192–202, 2014. [ DOI ]
  46. Hu C.and Youn B.D., “An Adaptive Dimension Decomposition and Reselection Method for Reliability Analysis,” Structural and Multidisciplinary Optimization, v47, n3, p423–440, 2013. [ DOI ]
  47. Hu C.Youn B.D., and Wang P., “Ensemble of Data-Driven Prognostic Algorithms for Robust Prediction of Remaining Useful Life,” Reliability Engineering and System Safety, v103, p120–135, 2012. [ DOI ]
  48. Hu C.Wang P., Youn B.D., and Lee W.R., “Copula-Based Statistical Health Grade System against Mechanical Faults of Power Transformers,” IEEE Transactions on Power Delivery, v27, n4, p1809–1819, 2012. [ DOI ]
  49. Wang P., Youn B.D., and Hu C.“A Generic Probabilistic Framework for Structural Health Prognostic and Uncertainty Management,” Mechanical Systems and Signal Processing, v28, p622–637, 2012. [ DOI ]
  50. Hu C.Youn B.D., and Chung J., “A Multiscale Framework with Extended Kalman Filter for Lithium-Ion Battery SOC and Capacity Estimation,” Applied Energy, v92, p694–704, 2012. [ DOI ]
  51. Xi Z., Hu C.and Youn B.D., “A Comparative Study of Probability Estimation Methods for Reliability Analysis,” Structural and Multidisciplinary Optimization, v45, n1, p33‒52, 2012. [ DOI ]
  52. Youn B.D., Hu C., and Wang P., “Resilience-Driven System Design of Complex Engineered Systems,” Journal of Mechanical Design, v133, n10, 101011 (15pp), 2011. [ DOI ]
  53. Wang P., Hu C., and Youn B.D., “A Generalized Complementary Intersection Method for System Reliability Analysis and Design,” Journal of Mechanical Design, v133, n7, 071003 (13pp), 2011. [ DOI ]
  54. Youn B.D., Hu C.Wang P., and Yoon J.T., “Resilience Allocation for Resilient Engineered System Design,” Journal of Institute of Control, Robotics and Systems, v17, n11, p1082-1089, 2011. [ DOI ]
  55. Hu C. and Youn B.D., “An Asymmetric Dimension-Adaptive Tensor-Product Method for Reliability Analysis,” Structural Safety, v33, n3, p218‒231, 2011. [ DOI ]
  56. Hu C. and Youn B.D., “Adaptive-Sparse Polynomial Chaos Expansion for Reliability Analysis and Design of Complex Engineering Systems,” Structural and Multidisciplinary Optimization, v43, n3, p419‒442, 2011. [ DOI ]
  57. Xi Z., Youn B.D., and Hu C.“Random Field Characterization Considering Statistical Dependence for Probability Analysis and Design,” Journal of Mechanical Design, v132, n10, 101008 (12pp), 2010. [ DOI ]