公开(公告)号：US20220291175A1

公开(公告)日：2022-09-15

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 ,  G01N29/34 ,  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.

公开(公告)号：US20220065728A1

公开(公告)日：2022-03-03

申请号：US17405423

申请日：2021-08-18

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Hung-Chih CHANG ,  Yao-Long TSAI ,  Li-Hua WANG

IPC: G01M3/24 ,  G06N3/04 ,  G01S19/01

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 convolutional neural network. An under-test sound wave signal is captured from an under-test section of an under-test structure through direct contact, non-contact, or indirect contact. A structural degradation state of the under-test section is determined according to the under-test sound wave signal through the diagnostic model.

公开(公告)号：US20240419569A1

公开(公告)日：2024-12-19

申请号：US18399266

申请日：2023-12-28

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Hung-Chih CHANG ,  Yao-Long TSAI ,  Li-Hua WANG

IPC: G06F11/27 ,  G01N29/12 ,  G01N29/265 ,  G01N29/46

Abstract: A structure detecting apparatus used for receiving at least one under-test acoustic signal of an under-test structure and determining a structural state of the at least one under-test structure includes a communication interface, a filter amplifier circuit and a logic circuit. The communication interface is used to receive the at least one under-test acoustic signal. The filter amplifier circuit is used to filter the at least one under-test acoustic signal and output at least one filtered-and-amplified signal. The logic circuit includes a diagnostic model configured with a convolutional neural network (CNN) and is used to determine the structural state of the at least one under-test structure based on the at least one filtered-and-amplified signal.