公开(公告)号：US12203890B2

公开(公告)日：2025-01-21

申请号：US17830859

申请日：2022-06-02

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Hung-Chih Chang ,  Yao-Long Tsai ,  Li-Hua Wang

IPC: G01N29/12 ,  G01N29/14 ,  G01N29/24 ,  G01N29/34 ,  G06N3/04 ,  G06N3/08 ,  G06N20/10

Abstract: An acoustic resonance diagnostic method for detecting structural degradation is provided. The method includes steps as follows: Firstly, a training model is built using a deep neural network. At least two training acoustic signals are inputted to the training model to carry a training. A diagnostic model is built according to a result of the training using a CNN. A plurality of under-test sound wave signals are captured from an under-test section of an under-test structure. An AI is used to filter data invalid for detecting structural degradation from the under-test sound wave signals. A structural degradation state of the under-test section is determined according to a remaining portion of the under-test sound wave signals through the diagnostic model.