摘要
此文从应用技术的观点出发，概述了近年来船用柴油机监测和故障诊断的方法现状，介绍柴油机故障诊断的智能方法。并结合课题，以神经网络理论为数学工具对柴油机故障进行智能仿真诊断，然后分析其应用难点及发展趋向。
In this paper, the state of the methods of fault monitoring and diagnosis for marine diesel engine in recent years is introduced, and some intelligent approaches to diagnose the faults are put forward, which based on the viewpoint of application technology. And it combines with our subject, using the theory of ANN as the mathematical model in order to diagnose the faults for marine engine. At last, the difficult problems and trends of the diagnosis method are analyzed.
出处
《航海技术》
北大核心
2001年第3期37-39,共3页
Marine Technology
