- 专利标题： Machine learning device and machine learning method for learning correlation between shipment inspection information and operation alarm information for object
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申请号： US15725437申请日： 2017-10-05
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公开(公告)号： US11436693B2公开(公告)日： 2022-09-06
- 发明人: Akira Yamaguchi
- 申请人： FANUC CORPORATION
- 申请人地址： JP Yamanashi
- 专利权人： FANUC CORPORATION
- 当前专利权人： FANUC CORPORATION
- 当前专利权人地址： JP Yamanashi
- 代理机构： Hauptman Ham, LLP
- 优先权： JPJP2016-200840 20161012
- 主分类号： G06Q50/28
- IPC分类号： G06Q50/28 ; G06N20/00 ; G06N3/04 ; G06N5/02 ; G08B19/00
摘要：
A machine learning device which learns a correlation between shipment inspection information obtained by inspecting an object in shipment thereof and operation alarm information issued during operation of the object, includes a state observation unit which observes the shipment inspection information and the operation alarm information; and a learning unit which generates a learning model based on the shipment inspection information and the operation alarm information observed by the state observation unit.
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