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故障预测技术综述 被引量:40

Overview of Fault Prediction Technology
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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。 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.
机构地区 军械工程学院 [
出处 《火力与指挥控制》 CSCD 北大核心 2010年第1期1-5,共5页 Fire Control & Command Control
基金 国家自然科学基金(50475053) 军械工程学院科学研究基金(YJJXM0637) 军队科研计划基金资助项目
关键词 故障预测 人工智能 支持向量机 无线传感网络 fault prediction,artificial intelligence,SVM,wireless sensor networks
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  • 1刘海燕,王献昌,王兵山.多Agent系统的研究[J].计算机科学,1995,22(2):57-62. 被引量:54
  • 2[1]BEARD R V. Failure accommodation in linear systems through selfreorganization [ R]. Cambridge Massachusetts: Man Vehicle Lab,MIT, 1971.
  • 3[2]MEHRA R K, PESCHON J. An innovafon approach to fault detection and diagnosis in dynamics [J]. Automatica, 1971,7(5): 637 -640.
  • 4[3]WILLSKY A S. A survey of design methods for failure detection in dynamic systems [J]. Automatica, 1976,12(6): 601-611.
  • 5[4]HIMMELBLAU D M. Fault Detection and Diagnosis in Chemical and Petrochemical Process [ M]. Amsterdam: Elsevier Press, 1978.
  • 6[5]GERTLER J J. Survey of model based failure detection and isolation in complex plants [ J ]. IEEE Control Systems Magazine, 1988, 8(6) :3 - 11.
  • 7[6]ISERMANN R. Process fault detection based on modeling and estimation methods: a survey [J]. Automatica, 1984,20(4):387-404.
  • 8[7]FRANK P M. Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy: a survey and some new results[J]. Automatica, 1990, 26(3):459-474.
  • 9[8]ISERMANN R. Fault diagnosis of machines via parameter estimation and knowledge processing-tutorial paper [J]. Automatica, 1993,29(4): 815 - 835.
  • 10[9]PATTON R, et al. Fault Diagnosis in Dynamic Systems [ M]. New York: Prentice Hall, 1989.

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