- Patent Title: Machine learning device and machine learning method for learning correlation between shipment inspection information and operation alarm information for object
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Application No.: US15725437Application Date: 2017-10-05
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Publication No.: US11436693B2Publication Date: 2022-09-06
- Inventor: Akira Yamaguchi
- Applicant: FANUC CORPORATION
- Applicant Address: JP Yamanashi
- Assignee: FANUC CORPORATION
- Current Assignee: FANUC CORPORATION
- Current Assignee Address: JP Yamanashi
- Agency: Hauptman Ham, LLP
- Priority: JPJP2016-200840 20161012
- Main IPC: G06Q50/28
- IPC: G06Q50/28 ; G06N20/00 ; G06N3/04 ; G06N5/02 ; G08B19/00
Abstract:
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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