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虚拟传感器及数据融合的发展
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2009-06-27
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传统的经典动力学研究对象是一种被动结构, 在被动结构中引入控制器件或机敏元件后, 被动结构变成主动结构。但在原结构上附加的传感器和作动器, 使得结构过于庞大和复杂; 同时, 主动结构为非自伴随结构, 导致结构和系统的可靠性低。虚拟传感器和融合理论的应用, 将在很大程度上解决这个问题。本文介绍了虚拟传感器的基本概念和应用模型, 给出了虚拟传感器的计算方法; 介绍了融合理论、融合结构和融合算法; 列举了虚拟传感器及融合的应用, 并提出将虚拟传感器和融合理论应用于主动结构的设想。
关 键 词: 虚拟传感器; 融合; 主动结构
Abstract: T radit ionally, the object ive of the classical dynam ics are passive st ructures. They w ill become act ive st ruc2 tures w hen same cont ro llers and smart components are added to them. How ever, the p rimary st ructures w ill be2 come too bulky and comp lex due to the addit ional senso rs and actuato rs. In addit ion, act ive st ructures have non2self2
adjo int characterist ic w h ich lead to reduct ion of the reliability of the system s o r st ructures. In th is paper, virtual senso r and data fusion are int roduced to so lve the p roblem. Basic idea and models fo r app licat ions of virtual senso r are p resented. The algo rithm of virtual senso r is p resented. The theo ry of fusion is int roduced, asw ell as fusion con2
st ruct ion and its algo rithm. The app licat ions of virtual senso rs and data fusion are illust rated. F inally, the perspec2 t ive of the app licat ion of virtual senso r and data fusion in act ive st ructures is p resented.
Key words:V irtual senso r; Fusion;A ct ive st ructure
关 键 词: 虚拟传感器; 融合; 主动结构
Abstract: T radit ionally, the object ive of the classical dynam ics are passive st ructures. They w ill become act ive st ruc2 tures w hen same cont ro llers and smart components are added to them. How ever, the p rimary st ructures w ill be2 come too bulky and comp lex due to the addit ional senso rs and actuato rs. In addit ion, act ive st ructures have non2self2
adjo int characterist ic w h ich lead to reduct ion of the reliability of the system s o r st ructures. In th is paper, virtual senso r and data fusion are int roduced to so lve the p roblem. Basic idea and models fo r app licat ions of virtual senso r are p resented. The algo rithm of virtual senso r is p resented. The theo ry of fusion is int roduced, asw ell as fusion con2
st ruct ion and its algo rithm. The app licat ions of virtual senso rs and data fusion are illust rated. F inally, the perspec2 t ive of the app licat ion of virtual senso r and data fusion in act ive st ructures is p resented.
Key words:V irtual senso r; Fusion;A ct ive st ructure
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