A Physics-Based Deep Learning Approach for Fault Diagnosis of Rotating Machinery. - Mohammadkazem Sadoughi; Chao Hu (IECON, 2018)

Multivariate system reliability analysis considering highly nonlinear and dependent safety events. - Mohammadkazem Sadoughi; Meng Li; Chao Hu (Reliab. Eng. Syst. Saf., 2018)

Remaining Useful Life Prediction of Lithium-Ion Batteries Using Multi-model Gaussian Process. - Meng Li; Mohammadkazem Sadoughi; Sheng Shen 006; Chao Hu (ICPHM, 2019)

A Deep Learning Approach for Failure Prognostics of Rolling Element Bearings. - Mohammadkazem Sadoughi; Hao Lu 020; Chao Hu (ICPHM, 2019)

Multi-objective Bayesian optimization of super hydrophobic coatings on asphalt concrete surfaces. - Ali Nahvi; Mohammadkazem Sadoughi; Ali Arabzadeh; Alireza Sassani; Chao Hu; Halil Ceylan; Sunghwan Kim (J. Comput. Des. Eng., 2019)

A hybrid Gaussian process model for system reliability analysis. - Meng Li; Mohammadkazem Sadoughi; Zhen Hu; Chao Hu (Reliab. Eng. Syst. Saf., 2020)

Sequential Online Dispatch in Design of Experiments for Single- and Multiple-Response Surrogate Modeling. - Mohammadkazem Sadoughi; Chao Hu; Behnam Moghadassian; Anupam Sharma; Joseph Beck 002; Danielle Mathiesen (IEEE Trans Autom. Sci. Eng., 2020)

A physics-informed deep learning approach for bearing fault detection. - Sheng Shen 006; Hao Lu 020; Mohammadkazem Sadoughi; Chao Hu; Venkat Nemani; Adam Thelen; Keith Webster; Matthew J. Darr; Jeff Sidon; Shawn Kenny (Eng. Appl. Artif. Intell., 2021)