A time series and deep fusion framework for rotating machinery fault diagnosis

Author:

Zhang Jiasheng,Hu Di,Yang Tao,Zhou Hongkuan,Li Xianling

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference39 articles.

1. Effect of partial rotor-to-stator rub on shaft vibration;Abuzaid;J. Mech. Sci. Technol.,2009

2. Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method;An;Neurocomputing,2019

3. Anomaly Detection and Diagnosis for Wind Turbines Using Long Short-Term Memory-Based Stacked Denoising Autoencoders and XGBoost;Chen Zhang,2022

4. Asynchronous Fault detection observer for 2-D markov jump systems;Cheng;IEEE Trans. Cybern.,2021

5. Extreme learning machine – radial basis function (ELM-RBF) networks for diagnosing faults in a steam turbine;Dhini;Journal of Industrial and Production Engineering,2021

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