公开(公告)号：US20220091597A1

公开(公告)日：2022-03-24

申请号：US17423111

申请日：2020-01-08

Applicant: JFE STEEL CORPORATION

Inventor： Shinji KOSEKI ,  Masaru FUKUMURA ,  Hiroyasu SHIGEMORI ,  Shiguma UNO ,  Noriko OZAWA ,  Toshito TAKAMIYA

IPC: G05B19/418

Abstract: An analysis system 10 includes: an operational data acquisition unit 11 that acquires operational data including an operational state of a production line 20; a product information acquisition unit 13 that acquires a state of a product manufactured in the production line and outputs the state of the product as product information; a production state analyzer 12 that obtains a predetermined physical quantity of the product on a basis of the operational data acquired by the operational data acquisition unit 11 and outputs the predetermined physical quantity as information on the physical quantity; and a correlation analyzer 14 that performs analysis of a correlation between the information on the physical quantity and the product information.

公开(公告)号：US20240295874A1

公开(公告)日：2024-09-05

申请号：US18270679

申请日：2021-11-08

Applicant: JFE STEEL CORPORATION

Inventor： Hiroyasu SHIGEMORI

IPC: G05B19/418

CPC classification number: G05B19/41875 ,  G05B2219/32368

Abstract: A quality abnormality analysis method for a product manufactured by a manufacturing process includes: predicting quality of the product by inputting manufacturing conditions to a quality prediction model generated by using a plurality of manufacturing conditions of the manufacturing process as input variables and using the quality of the product as an output variable; calculating a quality evaluation value of an actual product manufactured by the manufacturing process; calculating, as a quality prediction error, a difference between a quality prediction value obtained as an output and the quality evaluation value; a quality contribution calculation step of quality contribution degrees of the input manufacturing conditions when predicting the quality of the product using the quality prediction model; and presenting, based on the quality prediction error and the quality contribution degree, a manufacturing condition causing a quality abnormality of the product.