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Mohammadkazem Sadoughi
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2020 – today
- 2021
- [j5]Sheng Shen, Hao Lu
, Mohammadkazem Sadoughi, Chao Hu, Venkat Nemani
A physics-informed deep learning approach for bearing fault detection. Eng. Appl. Artif. Intell. 103: 104295 (2021) - 2020
- [j4]Meng Li, Mohammadkazem Sadoughi, Zhen Hu, Chao Hu:
A hybrid Gaussian process model for system reliability analysis. Reliab. Eng. Syst. Saf. 197: 106816 (2020) - [j3]Mohammadkazem Sadoughi
Sequential Online Dispatch in Design of Experiments for Single- and Multiple-Response Surrogate Modeling. IEEE Trans Autom. Sci. Eng. 17(4): 1674-1688 (2020)
2010 – 2019
- 2019
- [j2]Ali Nahvi, Mohammadkazem Sadoughi, Ali Arabzadeh, Alireza Sassani
Multi-objective Bayesian optimization of super hydrophobic coatings on asphalt concrete surfaces. J. Comput. Des. Eng. 6(4): 693-704 (2019) - [c3]Meng Li, Mohammadkazem Sadoughi, Sheng Shen, Chao Hu:
Remaining Useful Life Prediction of Lithium-Ion Batteries Using Multi-model Gaussian Process. ICPHM 2019: 1-6 - [c2]Mohammadkazem Sadoughi, Hao Lu
A Deep Learning Approach for Failure Prognostics of Rolling Element Bearings. ICPHM 2019: 1-7 - 2018
- [j1]Mohammadkazem Sadoughi, Meng Li, Chao Hu
Multivariate system reliability analysis considering highly nonlinear and dependent safety events. Reliab. Eng. Syst. Saf. 180: 189-200 (2018) - [c1]Mohammadkazem Sadoughi, Chao Hu:
A Physics-Based Deep Learning Approach for Fault Diagnosis of Rotating Machinery. IECON 2018: 5919-5923
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