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Title:
MACHINE LEARNING DEVICE, NUMERICAL CONTROL DEVICE, ABNORMALITY ESTIMATION DEVICE, AND MACHINE TOOL CONTROL SYSTEM
Document Type and Number:
WIPO Patent Application WO/2020/179063
Kind Code:
A1
Abstract:
This machine learning device (1), which learns an abnormality generation condition of a machining tool for processing an object to be processed, is characterized by comprising: a state observation unit (11) that observes, as state variables, tool service life information indicating the service life of a tool and machining conditions of the machining tool (2); and a learning unit (12) that learns the abnormality generation condition according to a data set which is created on the basis of the state variables and presence/absence of a notification regarding the abnormality of the machining tool (2).

Inventors:
YAMANAKA KEISUKE (JP)
SATO KAZUYUKI (JP)
Application Number:
PCT/JP2019/009157
Publication Date:
September 10, 2020
Filing Date:
March 07, 2019
Export Citation:
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Assignee:
MITSUBISHI ELECTRIC CORP (JP)
International Classes:
G05B19/18; G05B19/4155
Foreign References:
JP2018041208A2018-03-15
JP2017220111A2017-12-14
JP2017188030A2017-10-12
JP2018156151A2018-10-04
JP2004130407A2004-04-30
Attorney, Agent or Firm:
TAKAMURA, Jun (JP)
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