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Author:

He, Hao-Xiang (He, Hao-Xiang.) (Scholars:何浩祥) | Yan, Wei-Ming (Yan, Wei-Ming.) (Scholars:闫维明) | Zhang, Ai-Lin (Zhang, Ai-Lin.) | Wang, Zhuo (Wang, Zhuo.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

Information fusion is introduced to enhance the accuracy of damage detection with multi sensors. In the damage information fusion for character level, the concept for integral support vector machine damage detection matrix, damage self-information and damage information entropy are presented. The structure is divided into multiple substructures, the data acquisition and support vector machine are established for each substructure in order to form integral SVM damage detection matrix. In the damage information fusion for decision level, the methods based on fuzzy set theory, material element theory and fuzzy neural network are studied. The results, proven by a numerical example of space structure, show that the methods are valid and effective.

Keyword:

Decision theory Support vector machines Soft computing Fuzzy neural networks Fuzzy sets Numerical methods Information fusion Matrix algebra Fuzzy set theory Structural analysis Computation theory Data acquisition Damage detection

Author Community:

  • [ 1 ] [He, Hao-Xiang]Beijing Laboratory of Earthquake Engineering and Structural Retrofit, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Yan, Wei-Ming]Beijing Laboratory of Earthquake Engineering and Structural Retrofit, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Zhang, Ai-Lin]Beijing Laboratory of Earthquake Engineering and Structural Retrofit, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Wang, Zhuo]Beijing Laboratory of Earthquake Engineering and Structural Retrofit, Beijing University of Technology, Beijing 100124, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2009

Issue: 2

Volume: 35

Page: 206-212

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 12

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