Title:
MACHINE LEARNING DEVICE, DATA PROCESSING SYSTEM, INFERENCE DEVICE, AND MACHINE LEARNING METHOD
Document Type and Number:
WIPO Patent Application WO/2021/187213
Kind Code:
A1
Abstract:
[Problem] To provide a machine learning device and the like that enable accurate understanding of an abnormality and a sign of an abnormality in a fluid pressure-driven valve, independently of the experience of a worker. [Solution] A machine learning device (200) that may be applied in a fluid pressure-driven valve (10) including a main valve (11), a driving device (12) that drives the main valve (11), and a solenoid valve (1) that controls the supply and discharge of a driving fluid (A) to and from the driving device (12), said machine learning device comprising: a learning dataset storage unit (202) that stores a plurality of sets of learning datasets configured from input data containing time series data pertaining to the valve openness of the main valve (11) in a prescribed period and time series data pertaining to the pressure of the driving fluid (A) on the solenoid valve output side, and output data comprising diagnostic information pertaining to the fluid pressure-driven valve (10) and associated with the input data; a learning unit (203) that, by inputting the plurality of sets of learning datasets, learns a learning model inferring the correlation between the input data and the output data; and a learned model storage unit (204) that stores learned models.
Inventors:
AOYAMA FUMIAKI (JP)
Application Number:
PCT/JP2021/009117
Publication Date:
September 23, 2021
Filing Date:
March 09, 2021
Export Citation:
Assignee:
KANEKO SANGYO CO LTD (JP)
International Classes:
F16K31/163; F16K37/00; G05B23/02; G16Y10/25; G16Y40/10
Domestic Patent References:
| WO2019235599A1 | 2019-12-12 |
Foreign References:
| JPH0861551A | 1996-03-08 | |||
| JPH0413935A | 1992-01-17 |
Attorney, Agent or Firm:
AOYAMA, Jun et al. (JP)
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