An adaptive variational mode decomposition based on sailfish optimization algorithm and Gini index for fault identification in rolling bearings

Author:

Nassef M.G.A.,Hussein Taha M.,Mokhiamar Ossama

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference55 articles.

1. R. Wanhill, S. Barter, L. Molent, Fatigue Crack Growth Failure and Lifing Analyses for Metallic Aircraft Structures and Components, SpringerBriefs in Applied Sciences and Technology. Springer, (2019). http:// doi.org/10.1007/978-94-024-1675-6.

2. X. L. Xu, Z. Yu, Failure analysis of tapered roller bearing inner rings used in heavy truck, Engineering Failure Analysis. 111 (2020) 104474. https://doi.org/10.1016/j.engfailanal.2020.104474.

3. A review of failure modes, condition monitoring and fault diagnosis methods for large-scale wind turbine bearings;Liu;Measurement,2020

4. Low-Speed Bearing Fault Diagnosis Based on ArSSAE Model Using Acoustic Emission and Vibration Signals;Saufi;IEEE Access,2019

5. Vibration based modelling of acoustic emission of rolling element bearings;Patil;J. Sound Vib.,2020

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