Chao Hu

发表

Joint training of a predictor network and a generative adversarial network for time series forecasting: A case study of bearing prognostics

S. Laflamme, V. Nemani, A. Zimmerman, 2022, Expert Syst. Appl..

Integrating Physics-Based Modeling and Machine Learning for Degradation Diagnostics of Lithium-Ion Batteries

Y. Lui, S. Laflamme, Shan Hu, 2022, Energy Storage Materials.

Physics-Informed Machine

A. Wills, S. Särkkä, A. Solin, 2021 .

Multi-step ahead state estimation with hybrid algorithm for high-rate dynamic systems

S. Laflamme, J. Bakos, J. Dodson, 2022, Mechanical Systems and Signal Processing.

Generated datasets from dynamic reproduction of projectiles in ballistic environments for advanced research (DROPBEAR) testbed

Erik Blasch, S. Laflamme, J. Dodson, 2022, IOP SciNotes.

Health index construction with feature fusion optimization for predictive maintenance of physical systems

V. Nemani, Chao Hu, Adam Thelen, 2022, Structural and Multidisciplinary Optimization.

Augmented model-based framework for battery remaining useful life prediction

Meng Li, S. Kalinin, M. Sanghadasa, 2022, Applied Energy.

A Physics-Based Deep Learning Approach for Fault Diagnosis of Rotating Machinery

Chao Hu, Mohammadkazem Sadoughi, Chao Hu, 2018, IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society.

Ensembles of probabilistic LSTM predictors and correctors for bearing prognostics using industrial standards

V. Nemani, A. Zimmerman, Hao Lu, 2021, Neurocomputing.

Multi-Time Resolution Ensemble LSTMs for Enhanced Feature Extraction in High-Rate Time Series

Simon Laflamme, Jacob Dodson, Vahid Barzegar, 2021, Sensors.

Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis

S. Laflamme, Hao Lu, Chao Hu, 2023, ArXiv.

A physics-informed feature weighting method for bearing fault diagnostics

S. Sarkar, S. Laflamme, A. Zimmerman, 2023, Mechanical Systems and Signal Processing.

GAN-LSTM Predictor for Failure Prognostics of Rolling Element Bearings

Simon Laflamme, Andrew T. Zimmerman, Venkat Nemani, 2021, 2021 IEEE International Conference on Prognostics and Health Management (ICPHM).

Predicting Battery Lifetime Under Varying Usage Conditions from Early Aging Data

D. Howey, Tingkai Li, Zihao Zhou, 2023, ArXiv.

Predicting Battery Lifetime Under Varying Usage Conditions from Early Aging Data

D. Howey, Tingkai Li, Zihao Zhou, 2023, ArXiv.

Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial

Zhen Hu, A. Tran, V. Nemani, 2023, Mechanical Systems and Signal Processing.