遗传算法在故障特征选择中的应用研究

Application of Genetic Algorithm to Fault Feature Selection

针对传统组合优化方法用于特征选择的种种缺陷 ,提出了基于遗传算法的特征选择策略。经仿真及回转机械故障实例分析 ,证明该方法拥有较强的并行性和寻优能力 。

Feature selection is an important step in fault diagnosis owing to its considerable reduction in redundant features to enhance the effect of diagnosis. In view of the deficiencies of traditional combination optimization method, a new method based on genetic algorithm is proposed in the paper. According to the results of computer simulation and practical diagnosis example, it is proved that this method possess excellent parallelism and optimization property.