Damage Detection in Structures by Electrical Impedance and Optimization Technique
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The current interest in research regarding predictive maintenance is the result of several factors, involving economic reasons, recent developments in sensor and actuator technology and the elimination of dangerous failures involving risk of human life. Vibration-based methods have been investigated for a long time, and new approaches are continuously proposed. However, the interpretation of vibration signals to identify damage is not an easy and straightforward task. In this context, smart material technology has become an area of increasing interest, and the electrical impedance technique has been accepted as an effective method for structural health monitoring because its easy implementation and simple structural evaluation. In this paper a new methodology is proposed, which combines impedance technique and the application of a diagnostic model based on vibration measurements and generated by optimization procedures.
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