Multi-source heterogeneous information fusion fault diagnosis method based on deep neural networks under limited datasets

Author:

Han Dongying,Zhang Yu,Yu Yue,Tian Jinghui,Shi PeimingORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference54 articles.

1. Applications of machine learning to machine fault diagnosis: A review and roadmap;Lei;Mech. Syst. Signal Process.,2020

2. A review of data-driven machinery fault diagnosis using machine learning algorithms;Cen;J. Vib. Eng. Technol.,2022

3. Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation;Li;J. Intell. Manuf.,2020

4. Monthly runoff forecasting based on LSTM–ALO model;Yuan;Stoch. Env. Res. Risk. A.,2018

5. The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction;Ikram;Appl. Soft. Comput.,2022

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