摘要
智能船舶代表了船舶未来的发展方向,柴油机作为船舶主要驱动设备,其故障诊断对智能船舶的安全性和可靠性具有重要意义。人工智能有效地解决了传统故障诊断方法存在的问题,基于人工智能方法的柴油机故障诊断技术成为近些年的研究热点。本文总结人工智能在柴油机故障诊断中的研究进展,对迁移学习应用到柴油机故障诊断中的前景进行展望,分析了柴油机故障诊断的研究趋势和面临的挑战。
Intelligent ships represent the future development direction of ships.As the main driving equipment of ships,diesel engines are of great significance to the safety and reliability of intelligent ships.Artificial intelligence technology is superior to traditional methods in marine diesel engine fault diagnosis.The application of this technology in diesel engines has become a research hotspot in recent years.Accordingly,this paper summarizes and prospects the development and application of diesel engine artificial intelligent fault diagnosis,and the research trends and challenges of diesel engine fault diagnosis are analyzed.
作者
殷文慧
王飞
孙强
张安通
杨云帆
YIN Wen-hui;WANG Fei;SUN Qiang;ZHANG An-tong;YANG Yun-fan(China Ship Scientific Research Center,Wuxi 214082,China;Taihu Laboratory of Deepsea Technological Science,Wuxi 214100,China)
出处
《舰船科学技术》
北大核心
2023年第24期122-127,共6页
Ship Science and Technology
关键词
船用柴油机
故障诊断
机器学习
深度学习
迁移学习
marine diesel engine
fault diagnosis
machine learning
deep learning
transfer learning
