A Vibration-Based Strategy for Structural Health Monitoring with Cosine Similarity

This paper presents an effective vibration-based structural health monitoring using cosine similarity and sensor data. This vibration-based strategy uses the rate of changes of natural frequencies before and after the occurrence of various damage scenarios, including not only single but also multiple damages. The proposed method alerts the occurrence of damage with normalized warning index which facilitates workers to manage risks of damage. By the method, moreover, the case most similar to the current status is directly figured out without any additional analysis between monitoring and damage identification, which renders damage identification process simpler. Numerical examples are considered to verify the performance of the proposed method. As a result, the damages in the structures are accurately detected.