Bearing Fault Data Diagnosis GA approach.docx (21.52 kB)
Download file

Bearing Fault Data Diagnosis : GA approach

Download (21.52 kB)
posted on 2022-08-09, 04:49 authored by Saidur HossainSaidur Hossain

Bearing fault diagnosis presents a great challenge to analysis as computational data. This analysis aims to propose a good fit approach to dealing with faulty data to optimize the correctness of data by developing a genetic algorithm (GA). Our result indicates the method of the genetic algorithm performs significantly better in several cases. The genetic algorithm performs with over 90% accuracy to overcome the faulty bearing fault data.


Email Address of Submitting Author

Submitting Author's Institution

East West University

Submitting Author's Country

  • India

Usage metrics