Picture of athlete cycling

Open Access research with a real impact on health...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

Explore open research content by Physical Activity for Health...

Categorisation and pattern recognition methods for damage localisation from vibration measurements

Trendafilova, I. and Heylen, W. (2003) Categorisation and pattern recognition methods for damage localisation from vibration measurements. Mechanical Systems and Signal Processing, 17 (4). pp. 825-836. ISSN 0888-3270

Full text not available in this repository. Request a copy from the Strathclyde author

Abstract

This study presents a categorisation (classification) approach towards the damage localisation problem from vibration measurements. A stochastic pattern recognition method for solving such problems is introduced. The method suggests the substructuring in order to reduce the possible damage locations to the number of substructures. It utilises the differences in the frequency response functions of the structure in the damaged and the pre-damaged state. As a result, the damaged substructure(s) is (are) detected by classifying all the substructures as members of the two introduced categories - damaged and non-damaged substructures. A finite element model of the structure is used to train the classification system. The method is demonstrated on a test case of a cantilevered beam. It shows rather accurate performance and low error with simulated and noise-contaminated data. The method can be applied independently for locating a damage in a structure, but it can also be combined with a consequent identification (updating) procedure for more precise localisation and quantification of the existing damage. In the latter case, the subsequent localisation and quantification procedure is restricted to the damaged substructure(s), which facilitates the process and makes it less time consuming.