基于遗传算法的知识获取及其在故障诊断中的应用研究

KNOWLEGE ACQUISITION BASED ON GENETIC ALGORITHMS AND ITS APPLICATION TO FAULT DIAGNOSIS

摘要: 从优化角度出发，本文提出一种基于遗传算法的机器学习方法，该方法能够从学习实例中总结出有用的知识．针对该优化模型，本文用一种新型的遗传算法对其进行优化，并将该方法应用于旋转机械故障诊断知识获取过程，仿真实验结果说明该方法是比较有效的．

Abstract: A novel machine learning algorithm is proposed based on optimization model, which can obtain knowledge from learning instances. It is used to the knowledge acquisition for fault diagnosis. Simulation results show its validity.