Invention Grant
- Patent Title: Machine learning apparatus, machine learning method, and industrial machine
-
Application No.: US17027480Application Date: 2020-09-21
-
Publication No.: US11748659B2Publication Date: 2023-09-05
- Inventor: Zhenxing Li , Hiroshi Minami , Keita Hada , Kazuomi Maeda
- Applicant: FANUC CORPORATION
- Applicant Address: JP Yamanashi
- Assignee: FANUC CORPORATION
- Current Assignee: FANUC CORPORATION
- Current Assignee Address: JP Yamanashi
- Agency: Carter, DeLuca & Farrell LLP
- Agent Robert P. Michal, Esq.
- Priority: JP 19176341 2019.09.27
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G05B19/404

Abstract:
A machine learning apparatus determines a control parameter of an active vibration isolation apparatus on which an industrial machine is mounted. The industrial machine includes a movable part, a drive source that drives the movable part, and a drive source control section that controls the drive source to position the movable part at a command position. The machine learning apparatus includes: an acquiring section that acquires, as teacher data, a positional deviation, which is a difference between the command position and an actual position of the movable part; a storage section that stores a learning model that outputs the control parameter corresponding to a state quantity concerning the industrial machine; and a learning section that updates the learning model using the teacher data.
Public/Granted literature
- US20210097440A1 MACHINE LEARNING APPARATUS, MACHINE LEARNING METHOD, AND INDUSTRIAL MACHINE Public/Granted day:2021-04-01
Information query