Title:
A failure predicting device and a failure forecast system provided with the machine learning method and machine learning device which learn failure conditions, and the machine learning device
Document Type and Number:
Japanese Patent JP6148316
Kind Code:
B2
Abstract:
To provide a failure prediction system which enables accurate failure prediction in accordance with circumstances.SOLUTION: A failure prediction system 1 includes a machine learning device 5 which learns condition associated with failure of an industrial machine 2. The machine learning device 5 includes: a status observation part 52 which observes a status variable composed of, for example, output data of a sensor 11, internal data of a control software, or calculation data obtained based on the aforementioned two types of data while the industrial machine 2 is in operation or stationary; a determination data acquisition part 51 which acquires determination data indicating the presence or absence of failure of the industrial machine 2 or the degree of failure; and a learning part 53 which learns condition associated with the failure of the industrial machine 2 through supervised learning in accordance with a training data set created based on a combination of a status variable and the determination data.SELECTED DRAWING: Figure 1
Inventors:
Shogo Inagaki
Hiroshi Nakagawa
Daisuke Okanohara
Ryosuke Okuda
Eiichi Matsumoto
Keigo Kawai
Hiroshi Nakagawa
Daisuke Okanohara
Ryosuke Okuda
Eiichi Matsumoto
Keigo Kawai
Application Number:
JP2015234022A
Publication Date:
June 14, 2017
Filing Date:
November 30, 2015
Export Citation:
Assignee:
FANUC Corporation
Preferred networks Co., Ltd.
Preferred networks Co., Ltd.
International Classes:
G05B23/02; B25J19/06; G05B19/18; G06N3/08; G06N99/00
Domestic Patent References:
| JP5684941B1 | ||||
| JP2014096050A | ||||
| JP2003076414A | ||||
| JP2015088078A | ||||
| JP8263131A |
Attorney, Agent or Firm:
Atsushi Aoki
Jun Tsuruta
Tomohiro Minamiyama
Akira Kawai
Kenichi Nakamura
Jun Tsuruta
Tomohiro Minamiyama
Akira Kawai
Kenichi Nakamura