主要研究方向：船舶电力系统故障诊断 通信联系人： 施伟锋(1963-)
分析了船舶电力系统故障诊断方法研究面临的主要问题并指出未来故障诊断方法研究的可能方向：智能故障诊断方法研究、故障诊断集成方法研究和分布式故障诊断方法研究
张威
船舶电力系统故障诊断方法综述[EB/OL]
北京：中国科技论文在线
综述了船舶电力系统故障诊断方法的优缺点
本文分析了船舶电力系统故障特点
主要研究方向：电力系统及其自动化、控制理论与控制工程研究 【收录情况】 中国科技论文在线： 卓金宝
） Abstract： With modern marine power system becoming more complicated, high-efficiency fault diagnosis system not only can diagnosis faults accurately and rapidly, but also is the basis of stability and reliability of the whole marine power system
This paper analyzes the features of marine power system faults and classifies major fault diagnosis methods into two categories: model based methods and data based methods
Then, this paper presents the research status of marine power system fault diagnosis methodologies based on Petri net, fault tree, parameter estimation
高效的故障诊断系统不仅可以准确快速地诊断故障
expert system, analytical model, expert system, ANN, multi-Agent system and wavelet analysis
The major problems confronted by current fault diagnosis study of marine power system are analyzed
Finally, this paper points out the probable directions for future marine power system fault diagnosis study: intelligent fault diagnosis methods study, integrated fault diagnosis methods study and distributed fault diagnosis methods study
Keywords： electric power system and automation; marine power system; fault diagnosis; Petri net; fault tree; expert system 下载PDF阅读器 PDF全文下载： 初稿 （ 0 ） 作者简介： 卓金宝（1991-）
包括Petri网、故障树、参数估计法、状态估计、专家系统、神经网络、多智能体和小波分析等
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