Paper Title:
Intelligent Data-Fusion Model Using Correlation Fractal Dimension for Structural Damage Identification
  Abstract

To extract effectively features and improve damage identification precision, this study proposed an intelligent data-fusion model by integrating fractal theory, probabilistic neural network (PNN) and data fusion. A two-span concrete-filled steel tubular arch bridge in service was used to validate the intelligent model by identifying both single- and multi-damage patterns. The results show that the intelligent model proposed can not only reliably identify damage with different noise levels, but also have an excellent anti-noise capability and robustness.

  Info
Periodical
Advanced Materials Research (Volumes 143-144)
Edited by
H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong
Pages
1300-1304
DOI
10.4028/www.scientific.net/AMR.143-144.1300
Citation
S. F. Jiang, C. Fu, Z. Q. Wu, "Intelligent Data-Fusion Model Using Correlation Fractal Dimension for Structural Damage Identification", Advanced Materials Research, Vols. 143-144, pp. 1300-1304, 2011
Online since
October 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: James J. Hensman, Rob J. Barthorpe
Abstract:The optimal selection of discriminatory features from large datasets remains a pressing problem in damage identification. In this paper, a...
151
Authors: Wen Tao Sui, Dan Zhang
Abstract:This paper presents a fault diagnosis method on roller bearings based on adaptive neuro-fuzzy inference system (ANFIS) in combination with...
886
Authors: Dech Thammasiri, Phayung Meesad
Chapter 17: Metrology and Measurement
Abstract:In this research we propose an ensemble classification technique base on creating classification from a variety of techniques such as...
6572
Authors: Yu Long Xu, Yong Mei Zhang
Chapter 5: Information Processing and Computational Science
Abstract:In this paper, a recognition method for multiple classifiers is proposed, which combines an improved eigenface method with Support Vector...
1075
Authors: Ru Zhang
Chapter 6: Data Acquisition and Data Processing, Computational Techniques
Abstract:With the ceramics market's developing, the use of image processing and intelligent algorithm is applied to the ancient ceramics recognition...
1201