Fault Diagnosis of Inclined Edge Cracked Cantilever Beam Using Vibrational Analysis and Artificial Intelligence Techniques

Abstract

Damage is one of the vital characteristics in structural analysis because of safety cause as well as economic prosperity of the industries. The existence of cracks which influence the performance of structures as well as the vibrational parameters like modal natural frequencies, mode shapes, modal damping and stiffness. In this research paper, the effect of crack parameters (relative crack location & crack depth, and crack inclination) on the vibrational parameters of a single inclined edge crack cantilever beam are examined by different techniques using numerical method, finite element analysis (FEA), AI techniques (FUZZY inference method and Artificial Neural Network). Experimental analysis is carried out for verifying the results.Finite Element Method has been accomplished to derive the vibration signatures of the inclined cracked cantilever beam. The results obtained analytically are validated with the results obtained from the FEA. The simulations of FEA have done with the help of ANSYS software. Different artificial intelligent techniques based on Fuzzy controller and Artificial Neural Network controller have been formulated using the computed vibrational parameters for inclined edge crack identification in cantilever beam elements with more precision and significantly low computational period.