The research of the sensor fusion model based on fuzzy comprehensive theory

  • Xiaodan Zhang*
  • , Zhendong Niu
  • , Xiaomei Xu
  • , Kun Zhao
  • , Yunjuan Cao
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationBio-Inspired Computational Intelligence and Applications - International Conference on Life System Modeling and Simulation, LSMS 2007, Proceedings
PublisherSpringer Verlag
Pages396-402
Number of pages7
ISBN (Print)9783540747680
DOIs
Publication statusPublished - 2007
EventInternational Conference on Life System Modeling and Simulation, LSMS 2007 - Shanghai, China
Duration: 14 Sept 200717 Sept 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4688 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Life System Modeling and Simulation, LSMS 2007
Country/TerritoryChina
CityShanghai
Period14/09/0717/09/07

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