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公开(公告)号:US20210079925A1
公开(公告)日:2021-03-18
申请号:US16793020
申请日:2020-02-18
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor: Ming-Hsiang Hsu , Chun-Chieh Wang , Hung-Tsai Wu
Abstract: A data processing method is proposed, including: sensing, via at least one sensing portion, target information of a target device; receiving and processing, via an electronic device, the target information of the sensing portion to form feature information; processing, via the electronic device, the feature information into a label matrix, and establishing, via an artificial intelligence training method, a target model based on the label matrix; and after the electronic device captures real-time information of the target device, predicting, via the target model, a life limit of the target device, wherein a content of the target information is corresponding to a content of the real-time information. Thus, a good target model is constituted and is advantageous in training artificial intelligence by processing the feature information into the label matrix.
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公开(公告)号:US11454243B2
公开(公告)日:2022-09-27
申请号:US16793020
申请日:2020-02-18
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor: Ming-Hsiang Hsu , Chun-Chieh Wang , Hung-Tsai Wu
Abstract: A data processing method is proposed, including: sensing, via at least one sensing portion, target information of a target device; receiving and processing, via an electronic device, the target information of the sensing portion to form feature information; processing, via the electronic device, the feature information into a label matrix, and establishing, via an artificial intelligence training method, a target model based on the label matrix; and after the electronic device captures real-time information of the target device, predicting, via the target model, a life limit of the target device, wherein a content of the target information is corresponding to a content of the real-time information. Thus, a good target model is constituted and is advantageous in training artificial intelligence by processing the feature information into the label matrix.
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