# Automated Identification, Warning, and Visualization of Vortex-Induced Vibration

## TL;DR

This paper introduces a new method to automatically detect and visualize dangerous vibrations in bridges, helping ensure safety and quick decision-making.

## Contribution

The novel approach combines recurrence plots and a new feature index for automatic VIV detection and visualization.

## Key findings

- The proposed method successfully identifies VIV without manual intervention.
- The visualization tool allows for quick confirmation of VIV detection results.
- Multi-level warnings effectively alert about severe VIV events.

## Abstract

Vortex-induced vibration (VIV) is a kind of abnormal vibration which needs to be automatically identified and warned in real time to guarantee the operational safety of a bridge. However, the existing VIV identification methods only focus on identification and have limitations in visualizing identification results, which causes difficulty for bridge governors in other fields to quickly confirm the identification results. This paper proposes an automatic VIV identification, warning, and visualization method. First, a recurrence plot is introduced to analyze the signal to extract the characteristics of the vibration signal in a time domain. Then, a feature index defined as recurrence cycle smoothness is proposed to quantify the stability of the vibration signal, based on which the VIV can be automatically identified. An automatic VIV identification and multi-level warning process is finally established based on the severity of the vibration amplitude. The proposed method is validated through a suspension bridge with serious VIVs. The result indicates that the proposed method can automatically identify the VIV correctly without any manual intervention and can visualize the identification results using a graph, providing a good tool to quickly confirm the VIV identification results. The multi-level warning can successfully warn the serious VIV and provide possible early warning for large amplitude VIV.