摘要
当前舰船电力系统故障诊断精度有待提高,故障区域及故障类别难以判断,对此提出基于变阶遗传算法的舰船电力系统故障诊断方法,详细分析舰船电力系统的构成,整合舰船电力系统的相关电气故障类别,构建类别知识库,结合变阶遗传算法,建立了舰船电力系统故障特征检测模型,设计了舰船电力系统模糊故障诊断系统的推理策略,引用量子遗传算法进行故障诊断和求解,并对典型的舰船电力系统故障诊断效果进行实例分析,验证了基于变阶遗传算法的舰船电力系统故障诊断方法的合理性和诊断结果的准确性。
At present, the accuracy of fault diagnosis of ship power system needs to be improved, and it is difficult to judge the fault area and fault category. In this paper, a fault diagnosis method of ship power system based on variable order genetic algorithm is proposed. The composition of the ship power system is analyzed in detail, and the related electrical and gas fault categories of the ship power system are integrated, and the class knowledge base is constructed Based on the fault feature detection model, the reasoning strategy of fuzzy fault diagnosis system for ship power system is designed, and the fault diagnosis and solution are carried out by using quantum genetic algorithm. Finally, the effectiveness of fault diagnosis of typical ship power system is analyzed. The rationality and accuracy of the fault diagnosis method based on variable order genetic algorithm are verified.
作者
张吉同
ZHANG Ji-tong(Zhengzhou University of Industrial Technology,School of Information Engineering,Zhengzhou 451100,China)
出处
《舰船科学技术》
北大核心
2020年第24期109-111,共3页
Ship Science and Technology
基金
河南省二〇二〇年科技发展计划(科技攻关)项目(202102210361)
关键词
变阶遗传算法
舰船
电力系统
故障诊断
variable order genetic algorithm
warship
power system
fault diagnosis
