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公开(公告)号:US20230350772A1
公开(公告)日:2023-11-02
申请号:US18073300
申请日:2022-12-01
Applicant: ASUSTEK COMPUTER INC.
Inventor: Cheng-Wei GU , Shu-Chiao LIAO , Ming-Hung CHUNG , Yao-Hsun HUANG , Yuan-I TSENG , Hung-Ju LIN
IPC: G06F11/273 , G06F1/3296
CPC classification number: G06F11/2733 , G06F1/3296
Abstract: A power supply health check system for checking a health state of an under-test power supply is provided. The under-test power supply supplies power to a main board which has a voltage signal during operation. The health check system includes a detecting module, a deep learning model, and a processing unit. The detecting module is electrically connected to the main board to detect the voltage signal and convert the voltage signal into a digital signal. The deep learning model is established by using frequency-domain voltage data of a plurality of healthy power. The processing unit is configured to: collect the digital signal and store the digital signal as under-test time-domain voltage data; convert the under-test time-domain voltage data into under-test frequency-domain voltage data; and calculate, based on the under-test frequency-domain voltage data and the deep learning model, a health indicator for determining the health state of the under-test power supply.
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公开(公告)号:US20220093071A1
公开(公告)日:2022-03-24
申请号:US17402716
申请日:2021-08-16
Applicant: ASUSTeK COMPUTER INC.
Inventor: Sheng-Pin SU , Yuan-I TSENG , Che-Hung LAI , Chien-Yi WANG , Chuan-Te CHANG
Abstract: A noise measuring device is provided. The noise measuring device includes a soundproof box, a sound receiving device, a holding device, and a driving device. The sound receiving device is disposed in the soundproof box. The holding device is disposed in the soundproof box and configured to hold a testing object. The driving device is connected with the soundproof box and configure to drive the soundproof box to rotate.
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公开(公告)号:US20210390404A1
公开(公告)日:2021-12-16
申请号:US17337645
申请日:2021-06-03
Applicant: ASUSTeK COMPUTER INC.
Inventor: Yuan-I TSENG , Po-Yin LAI , Shu-Chiao LIAO
Abstract: The disclosure provides a signal detection method. The signal detection method includes: collecting initial data; pre-processing the initial data to obtain an original signal; reconstructing the original signal by using an optimized deep learning model, to generate a reconstructed signal; and comparing the original signal with the reconstructed signal, to determine whether there is an abnormality in the original signal. The disclosure further provides an electronic device using the signal detection method.
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