Advanced sensor network techniques recently allow collecting large amounts of data for structural health monitoring and damage detection while how to effectively interpret these complex sensor data to technical information posts many challenges this paper presents three optimization algorithm based support vector machines for damage detection. Correlation between mechanical damage behavior and electrical resistance change in cfrp composites as a health monitoring sensor d y song et al 2007 materials science and engineering a 456 286 crossref impact induced damage characterization of composite plates using neural networks steve e watkins et al 2007 smart materials and structures . Damage detection and sensor placement optimization in composite structures by hao zheng samit roy committee chair mark e barkey edward sazonov a thesis submitted in partial fulfillment of the requirements for the degree of master of science in the department of engineering science and mechanics in the graduate school of the. The goal of signal processing is to extract subtle changes in the vibration signals in order to detect locate and quantify the damage and its severity in the structure this paper presents a state of the art review of recent articles on signal processing techniques for vibration based shm. This paper gives an overview on the current status of vibration based methods for structural health monitoring all these methods have in common that a structural change due to a damage results in a more or less pronounced change of the dynamic behavior the use of modal information is discussed as well as the direct use of forced and ambient vibrations
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