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2020 – today
- 2023
[i1]Venkat Nemani, Luca Biggio, Xun Huan, Zhen Hu, Olga Fink
, Anh Tran, Yan Wang, Xiaoping Du, Xiaoge Zhang, Chao Hu:
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial. CoRR abs/2305.04933 (2023)- 2022
- [j3]Hao Lu, Vahid Barzegar, Venkat Nemani, Chao Hu, Simon Laflamme, Andrew T. Zimmerman:
Joint training of a predictor network and a generative adversarial network for time series forecasting: A case study of bearing prognostics. Expert Syst. Appl. 203: 117415 (2022) - [j2]Venkat Nemani, Hao Lu, Adam Thelen, Chao Hu, Andrew T. Zimmerman:
Ensembles of probabilistic LSTM predictors and correctors for bearing prognostics using industrial standards. Neurocomputing 491: 575-596 (2022) - 2021
- [j1]Sheng Shen, Hao Lu, Mohammadkazem Sadoughi, Chao Hu, Venkat Nemani, Adam Thelen, Keith Webster, Matthew J. Darr, Jeff Sidon, Shawn Kenny:
A physics-informed deep learning approach for bearing fault detection. Eng. Appl. Artif. Intell. 103: 104295 (2021) - [c1]Hao Lu, Vahid Barzegar, Venkat Nemani, Chao Hu, Simon Laflamme, Andrew T. Zimmerman:
GAN-LSTM Predictor for Failure Prognostics of Rolling Element Bearings. ICPHM 2021: 1-8
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