船电技术2026，Vol.46Issue(1)：44-47,4.
一种基于蚁群算法的电力推进系统故障诊断方法
A fault diagnosis method of electric propulsion system based on ant colony algorithm
沈枫 1张凯 2柯常国 1贾志强1
作者信息
- 1. 武汉船用电力推进装置研究所,武汉 430064
- 2. 海装沈阳局,沈阳 110000
- 折叠
摘要
Abstract
A fault diagnosis method of electric propulsion system based on ant colony algorithm,belonging to the technical field of monitoring system design for marine electric propulsion systems.Building upon in-depth research into ant colony algorithm,fault tree analysis methods,and faults in marine electric propulsion systems,it combines ant colony algorithm with fault tree analysis methods and proposes a fault diagnosis algorithm of electric propulsion system based on ant colony algorithm for the first time.The advantage of this algorithm lies in its ability to provide pheromone guidance during the diagnostic reasoning process of the marine electric propulsion system fault tree and adjust pheromone levels based on diagnostic results,then complete the learning of the diagnostic system and enhance both the efficiency and accuracy of fault diagnosis in electric propulsion systems.关键词
故障诊断/电力推进系统/蚁群算法Key words
Fault diagnosis/electric propulsion system/ant colony algorithm分类
信息技术与安全科学引用本文复制引用
沈枫,张凯,柯常国,贾志强..一种基于蚁群算法的电力推进系统故障诊断方法[J].船电技术,2026,46(1):44-47,4.
