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公开(公告)号：US20220065728A1
公开(公告)日：2022-03-03
申请号：US17405423
申请日：2021-08-18
发明人： Hung-Chih CHANG , Yao-Long TSAI , Li-Hua WANG
摘要： 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.
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公开(公告)号：US20220291175A1
公开(公告)日：2022-09-15
申请号：US17830859
申请日：2022-06-02
发明人： Hung-Chih CHANG , Yao-Long TSAI , Li-Hua WANG
摘要： 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.
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公开(公告)号：US20190145850A1
公开(公告)日：2019-05-16
申请号：US16111033
申请日：2018-08-23
发明人： Yao-Long TSAI , Li-Hua WANG
CPC分类号： G01M3/243 , F16L55/07 , F16L2201/30 , F17D1/08 , F17D5/02 , G01M3/2807 , G01M5/0025 , G01M5/0033 , G01M5/0066 , G01M7/00 , G01N29/043 , G01N29/045 , G01N29/4427 , G01N29/4472 , G01N2291/0258 , G01N2291/044 , G01N2291/2634
摘要： A method for detecting a deterioration defect of a structural part using a structural unit includes: defining a first base structural unit and obtaining N first base modal parameters of the first base structural unit; detecting a respective one of M first subject structural units of a subject structural part by each of M first sensors to obtain N first actual modal parameters of each of the M first subject structural units; calculating N first subject modal parameters of each of the M first subject structural units according to the N first actual modal parameters of each of the M first subject structural units and M*N first predetermined ratios; and comparing the N first subject modal parameters of each of the M first subject structural units to the N first base modal parameters to determine whether each of the M first subject structural units has a deterioration defect.
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公开(公告)号：US20190017895A1
公开(公告)日：2019-01-17
申请号：US15855944
申请日：2017-12-27
发明人： Yao-Long TSAI , Li-Hua WANG
IPC分类号： G01M3/28
CPC分类号： G01M3/2807 , F17D5/06 , G01M5/0025 , G01M5/0033 , G01M5/0066 , G01N29/11 , G01N29/4427 , G01N29/4445 , G01N29/46 , G01N2291/015 , G01N2291/0258
摘要： A method for detecting deterioration of a structural part includes: detecting a waveform of time domain of the structural part by a sensor disposed on the structural part; performing a conversion of time domain to frequency domain for the waveform of time domain by a processor electrically connected to the sensor so as to obtain an actual modal parameter of each of a plurality of modals related to a waveform of frequency domain of the structural part; comparing the actual modal parameter of each of the plurality of modals to modal parameter information stored in a database to determine whether a deterioration defect exists in the structural part; and determining a degree and a position of the deterioration defect when the deterioration defect exists in the structural part.
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