Invention Grant
- Patent Title: Press machine and method for monitoring abnormality of press machine
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Application No.: US16598549Application Date: 2019-10-10
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Publication No.: US11571870B2Publication Date: 2023-02-07
- Inventor: Yasuhiro Harada
- Applicant: AIDA ENGINEERING, LTD.
- Applicant Address: JP Kanagawa
- Assignee: AIDA ENGINEERING, LTD.
- Current Assignee: AIDA ENGINEERING, LTD.
- Current Assignee Address: JP Kanagawa
- Agency: McDermott Will & Emery LLP
- Priority: JPJP2018-194837 20181016
- Main IPC: G06N20/00
- IPC: G06N20/00 ; B30B15/00 ; G07C3/14

Abstract:
A press machine includes: a learning-model generating unit that uses one data from among data collected from sensors, as an objective variable, and uses data other than the one data as an explanatory variable to perform machine learning to generate a learning model for the one data, the generation being performed for all the data; a predicted-value calculating unit that inputs an actually measured value of data other than one data from among the data collected from the sensors, into the learning model for the one data to calculate a predicted value of the one data, the calculation being performed for all the data; a degree-of-abnormality calculating unit that calculates a degree of abnormality based on a difference between an actually measured value and a predicted value of the data; and a degree-of-abnormality outputting unit that outputs the calculated degree of abnormality.
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