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故障预测技术综述
引用本文:左宪章,康健,李浩,唐力伟.故障预测技术综述[J].火力与指挥控制,2010,35(1).
作者姓名:左宪章  康健  李浩  唐力伟
作者单位:1. 军械工程学院,石家庄,050003
2. 63880部队,河南,洛阳,471003
基金项目:国家自然科学基金,军械工程学院科学研究基金,军队科研计划基金 
摘    要:把握新军事变革机遇,加快信息化建设步伐,对军事装备进行有效的质量监控和故障预测是技术保障的重要内容。阐述了故障预测技术,系统地介绍了现有的、比较有代表性的故障预测技术方法,并叙述了其优缺点;最后重点对故障预测技术的发展前景进行了展望,指出了该研究领域当前需要进一步研究的问题和发展方向。研究故障预测技术对提高装备的维修和保障能力具有十分重要的意义。

关 键 词:故障预测  人工智能  支持向量机  无线传感网络

Overview of Fault Prediction Technology
ZUO Xian-zhang,KANG Jian,LI Hao,TANG Li-wei.Overview of Fault Prediction Technology[J].Fire Control & Command Control,2010,35(1).
Authors:ZUO Xian-zhang  KANG Jian  LI Hao  TANG Li-wei
Abstract:In order to seize the opportunity for new military reformation and accelerate the pace of informatization, it is necessary to monitor quality and predict fault for military equipments, and it is also the important content of technique support.This paper briefs the fault prediction technology and its potential benefits, and systematically introduces the existing and typical fault prediction technologies, including their advantages and disadvantages.Finally, problems to be further develop and trend for this research area are provided.A full and deep study on fault prediction technology is very important to the maintenance and guarantee of equipment.
Keywords:fault prediction  artificial intelligence  SVM  wireless sensor networks
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