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多源信息融合技术及其工业应用 被引量:10

Technology of Multi-source Information Fusion and Its Industrial Application
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摘要 通过对近年来国内外多传感器信息融合技术研究成果的总结,系统地阐述了多源信息融合技术的一般理论(如基本内涵、融合的基本过程、方法论),分析比较了多源信息融合系统的模型结构,介绍了多源信息融合技术在工业监控及诊断维护方面的应用。针对多源信息融合技术研究中存在的主要问题,说明了该技术未来的发展方向及趋势。 Through summarizing the research achievements of the technology of multi-sensor information fusion at home and abroad in recent years,the theory of multi-source information technology is described systematically,including basic connotation,basic fusion process and methodology.The model structures of multi-source information fusion systems are compared and analyzed.In addition,the application of multi-source information fusion technology in industrial monitoring and diagnosis maintenance are introduced.Aiming at the major problems exist in researching this technology,the developing tendency and prospect are forecasted.
出处 《自动化仪表》 CAS 北大核心 2010年第9期1-5,共5页 Process Automation Instrumentation
关键词 多源 多传感器 信息融合 工业监控 故障诊断 维护 Multi-source Multi-sensor Information fusion Industrial monitoring Fault diagnosis Maintenance
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  • 1Bar S Y.Extension of the probabilistic data association filter in multitarget tracking[C] ∥Proc.of the 5th Symp.on Nonlinear Estimation,1974:16-21.
  • 2Bar S Y,Tse E.Multitarget tracking in a cluttered environment with probabilistic data association[C] ∥Automatica,1975:451-460.
  • 3韩崇昭.信息融合理论与应用[J].中国基础科学,2000(7):14-18. 被引量:11
  • 4王耀南.大型复杂电力系统的多传感器信息融合智能技术[J].电力科学与技术学报,2008,23(2):24-29. 被引量:1
  • 5Vigire H P,Tereno A.A model for the prediction of "diseases" of firms by means of fuzzy relations[J].Fuzzy Sets and Systems,2008,159(17):2299-2316.
  • 6Kendall S M,Stuart A.The advanced theory of statistics[M].New York:Macmillan,1979.
  • 7Thomopoulos S C.Sensor integration and data fusion[J].Proc of SPIE,1989,1198(1):178-197.
  • 8Chang K C,Chong C Y,Barshalom T.Joint probabilistic data association in distributed sensor networks[J].IEEE Transactions on Automatic Control,1986,31(10):889-897.
  • 9Altmcay H.On the independence requirement in Dempster-Shafer theory for combining classifiers providing statistical evidence[J].Applied Intelligence,2006,25(1):73-90.
  • 10Pawlak Z.Rough set theoretical aspects of reasoning about data[C] ∥Dordrecht:Kluwedr Academic Publishers,1991:9-30.

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