Invention Grant
- Patent Title: Plant abnormality prediction system and method
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Application No.: US16231687Application Date: 2018-12-24
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Publication No.: US11113360B2Publication Date: 2021-09-07
- Inventor: Hyun Sik Kim , Jee Hun Park
- Applicant: DOOSAN HEAVY INDUSTRIES & CONSTRUCTION CO., LTD.
- Applicant Address: KR Changwon-si
- Assignee: DOOSAN HEAVY INDUSTRIES & CONSTRUCTION CO., LTD.
- Current Assignee: DOOSAN HEAVY INDUSTRIES & CONSTRUCTION CO., LTD.
- Current Assignee Address: KR Changwon-si
- Agency: Invenstone Patent, LLC
- Priority: KR10-2018-0014857 20180207
- Main IPC: G06F17/15
- IPC: G06F17/15 ; G06F16/9035 ; G06F17/11

Abstract:
A system and method predict whether or not a plant is abnormal and perform an accurate prediction even if a modeling is executed in a state where the understanding for a target to abnormality determination is low, or when a person unfamiliar with system designs a prediction model. The system includes a correlation coefficient calculation unit for calculating a correlation coefficient for each of two tags among a plurality of tags; a relevant tag determination unit for determining a relevant tag for each tag of the plurality of tags by comparing the correlation coefficient with a reference value; and an independent tag determination unit for determining one or more among the plurality of tags as an independent tag based on the relevant tag. The relevant tag determination unit includes primary and second tag extraction sections for extracting primary and second tags for each tag of the plurality of tags.
Public/Granted literature
- US20190243870A1 PLANT ABNORMALITY PREDICTION SYSTEM AND METHOD Public/Granted day:2019-08-08
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