The research of the sensor fusion model based on fuzzycomprehensive theory

  • Authors:

  • Xiaodan Zhang;Zhendong Niu;Xiaomei Xu;Kun Zhao;Yunjuan Cao

  • Affiliations:

  • School of Computer Science and Technology, Beijing Institute of Technology University, Beijing, P.R.China;School of Computer Science and Technology, Beijing Institute of Technology University, Beijing, P.R.China;School of Computer Science and Technology, Beijing Institute of Technology University, Beijing, P.R.China;School of Computer Science and Technology, Beijing Institute of Technology University, Beijing, P.R.China;School of Computer Science and Technology, Beijing Institute of Technology University, Beijing, P.R.China

  • Venue:
  • LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
  • Year:
  • 2007

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Abstract

A new decision sensor fusion model based on the fuzzy theory, which introduces fuzzy comprehensive assessment into traditional decision sensor fusion technology, is proposed in this paper. Through compare the difference between the architecture of hard decision and soft decision, the soft decision architecture had been applied. At the fusion center, the process of fusion is composed of the comprehensive operation and the global decision, and the global decision of the concerned object could be obtained by fusing the local decision of multiple sensors. In the practical application, the model has been successfully applied in the temperature fault detection and diagnosis system of Jilin Fengman Hydroelectric Simulation System. In the analyses of factual data, the performance of the system precedes that of the traditional diagnosis method.