公开(公告)号：US11967822B2

公开(公告)日：2024-04-23

申请号：US17489805

申请日：2021-09-30

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Ig Jae Kim ,  Heeseung Choi ,  Yeji Choi ,  Jisoo Kim

IPC: H02J3/00 ,  G05B13/02 ,  G05B13/04

CPC classification number: H02J3/004 ,  G05B13/0265 ,  G05B13/048 ,  H02J2203/20

Abstract: Embodiments relate to a method for predicting power generation and remaining useful life to predict operational soundness of a power plant and a system for performing the same, the method including acquiring sensing data from each of a plurality of sensors included in a plurality of systems in the power plant, outputting each of a predicted power generation and a predicted remaining useful life from a measurement value in sensing data of an input sensor through a pre-trained prediction model, assessing the operational soundness in aspect of the power generation and the remaining useful life using a prediction result and a current result in each aspect, and determining the operational soundness of the system based on prediction uncertainty and an assessment result in aspect of the power generation and the remaining useful life.

公开(公告)号：US11580629B2

公开(公告)日：2023-02-14

申请号：US17013859

申请日：2020-09-08

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Ig Jae Kim ,  Heeseung Choi ,  Hyunki Lim ,  Yeji Choi

IPC: G06T7/00 ,  G06T7/90

Abstract: Embodiments relate to a method and system for determining a situation of a facility by imaging a sensing data of the facility including receiving sensing data through a plurality of sensors at a query time, generating a situation image at the query time, showing the situation of the facility at the query time based on the sensing data, and determining if an abnormal situation occurred at the query time by applying the situation image to a pre-learned situation determination model.