Trendafilova, I. and Heylen, W. and Van Brussel, H.H. (2001) Measurement point selection in damage detection using the mutual information concept. Smart Materials and Structures, 10 (3). pp. 528-533. ISSN 0964-1726Full text not available in this repository. (Request a copy from the Strathclyde author)
The problem for measurement point selection in damage detection procedures is addressed. The concept of average mutual information is applied in order to find the optimal distance between measurement points. The idea is to select the measurement points in such a way that the taken measurements are independent, i.e. the measurements do not 'learn' from each other. The average mutual information can be utilized as a kind of an autocorrelation function for the purpose. It gives the average amount of information that two points 'learn' from each other. Thus the minimum of the average mutual information will provide the distance between measurement points with independent measurements. The idea to use the first minimum of the average mutual information is taken from nonlinear dynamics. The proposed approach is demonstrated on a test case. The results show that it is possible to decrease significantly the number of measurement points, without decreasing the precision of the solution.
|Keywords:||point selction, mutual information, damage detection, Mechanical engineering and machinery, Signal Processing, Mechanics of Materials, Civil and Structural Engineering, Materials Science(all), Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Condensed Matter Physics|
|Subjects:||Technology > Mechanical engineering and machinery|
|Department:||Faculty of Engineering > Mechanical and Aerospace Engineering|
|Depositing user:||Strathprints Administrator|
|Date Deposited:||16 Jul 2008|
|Last modified:||06 Jan 2017 04:38|