Title:
MACHINE LEARNING DEVICE, DATA PROCESSING SYSTEM, INFERENCE DEVICE, AND MACHINE LEARNING METHOD
Document Type and Number:
WIPO Patent Application WO/2021/220766
Kind Code:
A1
Abstract:
[Problem] To accurately ascertain an abnormality and a sign of an abnormality in a fluid-pressure-driven valve independently of, e.g., the experience of a worker. [Solution] A machine learning device (200) is 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 (200) comprising: a learning data set storage unit (202) that stores a plurality of sets of learning datasets configured from input data, which includes time series data pertaining to the valve openness of the main valve (11), time series data pertaining to the solenoid-valve-output-side pressure of the driving fluid (A), and time series data pertaining to the acceleration rate of the driving device (12), and output data, which is formed from diagnostic information that pertains to the driving device (12) and that is associated with the input data; a learning unit (203) that, by inputting the plurality of sets of learning data sets, 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/JP2021/014971
Publication Date:
November 04, 2021
Filing Date:
April 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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