Intelligent fault diagnosis of train axle box bearing based on parameter optimization VMD and improved DBN

Author:

Jin Zhenzhen,He Deqiang,Wei Zexian

Publisher

Elsevier BV

Subject

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

Reference28 articles.

1. A non-convex economic load dispatch problem with valve loading effect using a hybrid grey wolf optimizer;Al-Betar;Neural Comput. Appl.,2019

2. Rolling bearing fault diagnosis model of high-speed train based on SVD-PE;Feng;Modul. Mach. Tool Autom. Process. Technol.,2018

3. An integrated method based on hybrid grey wolf optimizer improved variational mode decomposition and deep neural network for fault diagnosis of rolling bearing;Gai;Measurement,2020

4. Railway axle condition monitoring technique based on wavelet packet transform features and support vector machines;Gómez;Sensors,2020

5. Remaining useful life prediction for rolling bearings using EMD-RISI-LSTM;Guo;IEEE Trans. Instrum. Meas.,2021

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