POWER SUPPLY HEALTH CHECK SYSTEM AND METHOD THEREOF

    公开(公告)号:US20230350772A1

    公开(公告)日:2023-11-02

    申请号:US18073300

    申请日:2022-12-01

    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.

    SIGNAL DETECTION METHOD AND ELECTRONIC DEVICE USING THE SAME

    公开(公告)号:US20210390404A1

    公开(公告)日:2021-12-16

    申请号:US17337645

    申请日:2021-06-03

    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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