摘要
近年来人工智能技术在很多领域得到了成功应用,特别是故障诊断方面。船舶电力系统是保障船舶自动化系统正常工作的重要组成部分。由于船舶电力系统工作环境恶劣,因而船舶电力系统一旦出现故障将会产生很严重的后果。传统船舶电力系统故障检测费时费力,本文通过对人工智能技术进行分析,研究了人工智能技术在船舶电力系统故障诊断中的应用,提出了一种故障诊断系统架构,重点研究了基于人工神经网络以及专家系统的电力系统故障诊断,设计了神经网络模型,给出了推理机的故障诊断流程。
In recent years, artificial intelligence technology has been successfully applied in many fields, especially in fault diagnosis. Ship power system is an important part of the ship automation system. Due to the bad working environment of the Marine electric power system, there will be serious consequences if the ship power system fails. Time-consuming conventional ship power system fault detection, this paper analyze the artificial intelligence technology, artificial intelligence technology in the ship power system is studied in the application of fault diagnosis, this paper proposes a fault diagnosis system architecture, is mainly studied based on artificial neural network and expert system for fault diagnosis of power system,the design of the neural network model, the process of reasoning machine fault diagnosis is presented.
出处
《舰船科学技术》
北大核心
2018年第8X期52-54,共3页
Ship Science and Technology
基金
国家住房和城乡建设部科学技术"青蓝工程"资助项目(2016-K4-063)
关键词
神经网络
人工智能
电力系统
故障诊断
neural networks
artificial intelligence
power system
fault diagnosis