Integrating DWT and Bayesian Neural Networks for Effective Bearing Fault Detection With Uncertainty Evaluation in Induction Machines
Date Issued
2026
Author(s) USM
DOI
10.1109/ACCESS.2026.3655166
Abstract
Proper maintenance of Induction Machines (IM) is essential to ensure suitable performance, extend their service lifespan, and minimize the risk of catastrophic failures. Bearing failures are the most common failure mode in induction machines reported in i
