会议专题

Design of Flow Stability System Based on Information Fusion

Stability of cotton flow velocity determines the accuracy of foreign fiber detection system. There are many factors affecting fiber flow flux. In the process of operational control, recent research has been directed towards synthetically and effectively adjusting the relative parameters, and thus achieving a stable and economic foreign fiber detection system in textile sector. In the foreign fiber detection system, the parameters of flow velocity are affected by the temperature, pressure, density, which are also interrelated and redundant information. Based on Clustering Fusion, the design of the flow velocity used in the detection device is provided in this paper. Using captured parameter characteristic information, clustering fusion control, conducts the second fusion for ART-2 and BP neural network, and sends to fusion center, then fusion center process the data using neural network method. Linking with synthesis repository and global data base, different control strategies can be utilized to adjust velocity of flow parameter. The cluster control strategy that keeps output velocity of flow stable are proposed to improve the fiber measure precision in foreign fiber detection system. This system can be used in indigenous foreign fiber detection system, and significantly improve the performance of the entire system.

Foreign fiber Information fusion Clustering control Velocity of flow Control strategy

Y.H.Du X.M.Jiang G.Y.Yang Z.H.Zhao

Mechanical & Electronic Engineering College,Tianjin Polytechnic University,China

国际会议

The 3rd Conference of Cross-Strait Engineering Education and Ceeusro & 1st International Conference on Engineering Technologies and Ceeusro(ICETC2009)(第三届工程技术与产学研研讨会暨第一届国际功能制造技术学术会议)

常州

英文

170-175

2009-11-19(万方平台首次上网日期,不代表论文的发表时间)