Wire disconnection prediction device

US11471965B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11471965-B2
Application numberUS-202016752717-A
CountryUS
Kind codeB2
Filing dateJan 27, 2020
Priority dateJan 31, 2019
Publication dateOct 18, 2022
Grant dateOct 18, 2022

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

A wire disconnection prediction device includes: a data acquisition part configured to acquire data relating to machining of a workpiece during machining of the workpiece by a wire electric discharge machine; a preprocessing part configured to create, based on the data acquired by the data acquisition part, machining condition data, machining member data and machining state data, as state data indicating a state of the machining; and a machine learning device configured to execute, based on the state data created by the preprocessing part, processing relating to machine learning using a learning model indicating correlation between a machining state in the wire electric discharge machine and presence/absence of a possibility of disconnection occurrence of a wire electrode in the wire electric discharge machine and a disconnection cause by a plurality of class sets.

First claim

Opening claim text (preview).

The invention claimed is: 1. A wire disconnection prediction device for estimating a wire disconnection risk during machining of a workpiece in a wire electric discharge machine, the wire disconnection prediction device comprising: a data acquisition part configured to acquire data relating to machining of the workpiece during machining of the workpiece by the wire electric discharge machine; a preprocessing part configured to create, based on the data acquired by the data acquisition part, machining condition data of a condition relating to the machining commanded in the machining of the workpiece, machining member data relating to a member used in the machining, and machining state data during the machining of the workpiece, as state data indicating a state of the machining; and a machine learning device configured to execute, based on the state data created by the preprocessing part, processing relating to machine learning using a learning model indicating correlation between a machining state in the wire electric discharge machine and presence/absence of a possibility of disconnection occurrence of a wire electrode in the wire electric discharge machine and a disconnection cause by a plurality of class sets, wherein the preprocessing part is configured to create the state data and label data based on the data acquired by the data acquisition part, the label data taking, as label values, the presence/absence of the disconnection occurrence of the wire electrode at time when the state data is acquired and the disconnection cause at time when disconnection occurs, the machine learning device includes a learning part configured to generate the learning model, based on the state data and the label data, by creating the class sets corresponding to each of the label values taken by the label data, and the label data includes disconnection pattern data including a label indicating (1) presence/absence of disconnection occurrence of the wire electrode in a state where the state data is acquired and the disconnection cause estimated when the wire electrode is disconnected and (2) a machining condition adjusted before the disconnection, upon acquiring the data in the state where the wire electrode is not disconnected, the preprocessing part is configured to take a label value indicating that there is no disconnection, for the disconnection pattern data of the state data, and upon acquiring the data in the state right before the disconnection of the wire electrode, the preprocessing part is configured to take a label value indicating the disconnection occurrence and the machining condition adjusted before the disconnection, for the disconnection pattern data of the state data. 2. The wire disconnection prediction device according to claim 1 , wherein the machine learning device includes: a learning model storage part configured to store the learning model indicating the correlation between the machining state in the wire electric discharge machine and the presence/absence of the possibility of the disconnection occurrence of the wire electrode in the wire electric discharge machine and the disconnection cause by the plurality of class sets; and an estimation part configured to estimate, based on the state data created by the preprocessing part, the presence/absence of the possibility of the disconnection occurrence of the wire electrode in the wire electric discharge machine and the disconnection cause using the learning model stored in the learning model storage part. 3. The wire disconnection prediction device according to claim 2 , wherein the estimation part is configured to estimate the presence/absence of the possibility of the disconnection occurrence of the wire electrode in the wire electric discharge machine and the disconnection cause, by k-nearest neighbor algorithm using the state data created by the preprocessing part and the plurality of class sets in the learning model. 4. The wire disconnection prediction device according to claim 3 , further comprising a machining condition adjustment part configured to change a machining condition of the wire electric discharge machine, based on an estimation result of the estimation part. 5. The wire disconnection prediction device according to claim 1 , wherein the machine learning device is configured to (1) generate the learning model obtained by gathering the state data for which the disconnection pattern data takes the same label value as respectively different class sets, and (2) store the generated learning model in a learning model storage part.

Assignees

Inventors

Classifications

  • Monitoring tool breakage, life or condition · CPC title

  • Wire-cutting · CPC title

  • Tool, monitor condition tool · CPC title

  • Edm, electrical discharge machining, electroerosion, ecm, chemical · CPC title

  • Wire, strang laying, deposit fluid, welding, adhesive, hardening, solidification, fuse · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US11471965B2 cover?
A wire disconnection prediction device includes: a data acquisition part configured to acquire data relating to machining of a workpiece during machining of the workpiece by a wire electric discharge machine; a preprocessing part configured to create, based on the data acquired by the data acquisition part, machining condition data, machining member data and machining state data, as state data …
Who is the assignee on this patent?
Fanuc Corp
What technology area does this patent fall under?
Primary CPC classification G05B19/4065. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Oct 18 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 6 related publications on this page (citations in our corpus or others sharing the same primary CPC).