受强制性开放获取政策约束的文章 - Andrew T Zimmerman了解详情
可在其他位置公开访问的文章：5 篇
A physics-informed feature weighting method for bearing fault diagnostics
H Lu, VP Nemani, V Barzegar, C Allen, C Hu, S Laflamme, S Sarkar, ...
Mechanical Systems and Signal Processing 191, 110171, 2023
强制性开放获取政策： US National Science Foundation
Ensembles of probabilistic LSTM predictors and correctors for bearing prognostics using industrial standards
VP Nemani, H Lu, A Thelen, C Hu, AT Zimmerman
Neurocomputing 491, 575-596, 2022
强制性开放获取政策： US National Science Foundation
Joint training of a predictor network and a generative adversarial network for time series forecasting: A case study of bearing prognostics
H Lu, V Barzegar, VP Nemani, C Hu, S Laflamme, AT Zimmerman
Expert Systems with Applications 203, 117415, 2022
强制性开放获取政策： US National Science Foundation
GAN-LSTM predictor for failure prognostics of rolling element bearings
H Lu, V Barzegar, VP Nemani, C Hu, S Laflamme, AT Zimmerman
2021 IEEE International Conference on Prognostics and Health Management …, 2021
强制性开放获取政策： US National Science Foundation
IIoT Deployment of a Physics-Informed Deep Learning Model for Online Bearing Fault Diagnostics
H Lu, C Allen, V Nemani, C Hu, A Zimmerman
Proceedings of the 2022 International Symposium on Flexible Automation, 2023
强制性开放获取政策： US National Science Foundation
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