Motor Operation Fault Detection Using Genetic Algorithm

Implementing genetic algorithm for motor fault detection covering ball bearing defects, inner raceway faults, and combined ball-inner race faults, utilizing 40 datasets for training and 4 datasets for testing with chromosome encoding representing fault features and fitness function evaluating classification accuracy.