Structural Fault Detection Techniques using Vibration Signature Analysis: A Review
The primary objective behind this work is to present structural crack detection techniques using vibration signature analysis developed by various researchers. The vibration signature analysis is a newer method to detect any fault inside different architectural structures, machines and objects. Due to the existence of the crack within the structure, the vibration parameters of structures will be changed. Therefore, there will be a significant change in the natural frequencies of transverse oscillation, and also in the corresponding mode shapes of structures due to the crack. Different researchers developed various techniques to identify whether there is any crack in the structure as well as the site and severity of the crack using vibration signature analysis. Different modern mathematical tools like Fuzzy Logic, Artificial Neural Network have been used by different researchers to predict the location of the crack much more accurately than the conventional mathematical tool used before. In this study some selected methods are discussed in detail to find out the position of the irregularities in the structure. This study will be helpful for new researchers in this field with lot of discussions on different crack detection methodologies and different reference papers in those techniques. Keywords - Crack Detection, Crack Position, Crack Depth, Natural Frequency, Mode Shape, Fuzzy Logic, Artificial Neural Network.