Commutator Surface Defect Detection Algorithm based on Genetic Algorithm

The research of commutator surface defect detection algorithm based on genetic algorithm is to use genetic algorithm to detect commutator surface defects. The main purpose of this study is to find a method to detect commutator defects. GA will be used to detect defects on the commutator surface by using data obtained from scanning electron microscopy (SEM). Based on this, we can easily detect and measure the defects on the surface of the commutator. This research works with genetic algorithms, which are developed to solve problems related to computer vision and image processing. To solve these problems, we use three basic rules: mutation, crossover and selection. This study can be used as an effective tool to analyze and repair the defective parts of motors, generators, transformers and so on.