Damage Identification for The Tree-like Network through Frequency-domain Modeling

TL;DR

This paper introduces a frequency-domain modeling method to identify and quantify damage in large tree-like networks, demonstrating robustness to noise and effectiveness for internal damages.

Contribution

It presents a novel approach leveraging exact frequency response modeling for damage detection in complex networks, including internal components.

Findings

Method accurately identifies damaged components.

Effective even with measurement noise.

Works for damages deep inside the network.

Abstract

In this paper, we propose a method to identify the damaged component and quantify its damage amount in a large network given its overall frequency response. The identification procedure takes advantage of our previous work which exactly models the frequency response of that large network when it is damaged. As a result, the test shows that our method works well when some noise present in the frequency response measurement. In addition, the effects brought by a damaged component which is located deep inside that large network are also discussed.