GAN-LSTM Predictor for Failure Prognostics of Rolling Element Bearings. - Hao Lu; Vahid Barzegar; Venkat Nemani; Chao Hu; Simon Laflamme; Andrew T. Zimmerman (ICPHM, 2021)

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)

Joint training of a predictor network and a generative adversarial network for time series forecasting: A case study of bearing prognostics. - Hao Lu 020; Vahid Barzegar; Venkat Nemani; Chao Hu; Simon Laflamme; Andrew T. Zimmerman (Expert Syst. Appl., 2022)

Ensembles of probabilistic LSTM predictors and correctors for bearing prognostics using industrial standards. - Venkat Nemani; Hao Lu; Adam Thelen; Chao Hu; Andrew T. Zimmerman (Neurocomputing, 2022)

Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial. - Venkat Nemani; Luca Biggio; Xun Huan; Zhen Hu; Olga Fink; Anh Tran; Yan Wang; Xiaoping Du; Xiaoge Zhang 001; Chao Hu (CoRR, 2023)