Diagnostic apparatus and diagnostic method

Patent metadata

Field	Value
Publication number	US-2021096531-A1
Application number	US-202016995161-A
Country	US
Kind code	A1
Filing date	Aug 17, 2020
Priority date	Sep 30, 2019
Publication date	Apr 1, 2021
Grant date	—

Abstract

A diagnostic apparatus includes a context information acquisition unit that acquires context information of operation being performed from a plurality of mechanical apparatuses, a sensing information acquisition unit that acquires physical quantity sensing information sensed by each of sensing units of a target machine and other mechanical apparatuses, a sensing information separation unit that separates the physical quantity information of the target machine and the physical quantity information of the other mechanical apparatuses from each other based on the context information and the sensing information of each of the plurality of mechanical apparatuses, a feature information extraction unit that extracts feature information of the physical quantity information, and an anomaly determination unit that determines, from a model corresponding to the acquired context information and the extracted feature information, whether or not operation of the target machine is normal.

First claim

What is claimed is:

1 . A diagnostic apparatus connected to a plurality of mechanical apparatuses including an industrial apparatus and a peripheral apparatus, comprising:
a context information acquisition unit that acquires, from each of the plurality of mechanical apparatuses, context information corresponding to operation being performed among a plurality of pieces of context information set based on a type of operation of each of the plurality of mechanical apparatuses; a sensing information acquisition unit that acquires, as sensing information sensed by sensing units arranged in a target machine as a mechanical apparatus targeted for diagnosis and other mechanical apparatuses, a physical quantity of each of the target machine and the other mechanical apparatuses, the physical quantity changing according to operation of each of the target machine and the other mechanical apparatuses; a sensing information separation unit that separates physical quantity information indicating the physical quantity of the target machine and physical quantity information indicating the physical quantities of the other mechanical apparatuses from each other based on the context information of each of the plurality of mechanical apparatuses acquired by the context information acquisition unit and the sensing information of each of the target machine and the other mechanical apparatuses acquired by the sensing information acquisition unit; a feature information extraction unit that extracts feature information indicating a feature of the physical quantity information in an interval including a specific operation interval indicated by the context information of the target machine from the physical quantity information of the target machine separated by the sensing information separation unit; and an anomaly determination unit that determines, based on a model corresponding to the context information acquired by the context information acquisition unit among one or more models corresponding to one or more pieces of context information and the feature information extracted by the feature information extraction unit, whether or not the operation of the target machine is normal.

2 . The diagnostic apparatus according to claim 1 , wherein
the feature information extraction unit includes a feature extraction unit that extracts the feature information from the physical quantity information of the target machine separated by the sensing information separation unit, a selection unit that selects reference feature information as a reference based on the feature information, and sequentially selects target feature information for comparison with the reference feature information, a calculation unit that calculates a processing interval likelihood of processing of the target machine from comparison between the reference feature information selected by the selection unit and the target feature information, an interval determination unit that determines, based on the processing interval likelihood, whether or not the target feature information corresponding to the processing interval likelihood is included in a processing interval of the processing, and an estimation unit that estimates the processing interval based on a determination result of the interval determination unit.

3 . The diagnostic apparatus according to claim 2 , wherein based on the operation interval, the selection unit selects, as the reference feature information, the feature information in an interval determinable as a non-processing interval that is not the processing interval.

4 . The diagnostic apparatus according to claim 2 , wherein the selection unit averages a predetermined number of pieces of previous information selected as the reference feature information, and selects the averaged information as new reference feature information.

5 . The diagnostic apparatus according to claim 2 , wherein the selection unit selects, as the reference feature information, information generated by machine learning for the feature information.

6 . The diagnostic apparatus according to claim 2 , wherein
the feature extraction unit extracts, as the feature information, a frequency spectrum of the physical quantity information in the interval including the operation interval, and the calculation unit calculates the processing interval likelihood based on a difference between a frequency spectrum as the reference feature information and a frequency spectrum as the target feature information.

7 . The diagnostic apparatus according to claim 2 , wherein in a case where the processing interval likelihood is greater than a predetermined threshold, the interval determination unit determines that the target feature information corresponding to the processing interval likelihood is included in the processing interval.

8 . The diagnostic apparatus according to claim 2 , further comprising: a generation unit that generates a model from the feature information corresponding to the processing interval estimated by the estimation unit in the feature information corresponding to the context information acquired by the context information acquisition unit.

9 . The diagnostic apparatus according to claim 1 , wherein
the sensing information acquisition unit acquires the sensing information sensed by the sensing unit in the target machine in a state in which power is distributed and no processing is performed and the sensing information sensed by the sensing unit in a state in which the processing is performed, and the sensing information separation unit compares the sensing information in the state in which no processing is performed in the target machine and the sensing information in the state in which the processing is performed, separates the physical quantity information due to the processing and the physical quantity information not due to the processing, and outputs, as the physical quantity information of the target machine, the physical quantity information due to the processing to the feature information extraction unit.

10 . The diagnostic apparatus according to claim 1 , wherein the sensing information separation unit determines, for separating the physical quantity information of the target machine and the physical quantity information of the other mechanical apparatuses, at least a weighting coefficient indicating a level of influence of the operation of the other mechanical apparatuses on the target machine.

11 . The diagnostic apparatus according to claim 10 , wherein the sensing information separation unit determines, based on layout information indicating arrangement of the plurality of mechanical apparatuses, the weighting coefficient indicating the level of influence of the other mechanical apparatuses on the target machine.

12 . The diagnostic apparatus according to claim 11 , wherein the layout information includes building information.

13 . The diagnostic apparatus according to claim 1 , wherein the sensing information acquisition unit acquires physical quantity information of a building by the sensing unit arranged in the target machine.

14 . The diagnostic apparatus according to claim 1 , further comprising: an operation restriction command output unit that restricts the operation of the other mechanical apparatuses in a case where a percentage of the physical quantity information of the other mechanical apparatuses in the sensing information of the target machine is equal to or greater than an acceptable predetermined value.

15 . The diagnostic apparatus according to claim 1 , wherein the sensing information acquisition unit acquires the sensing info

Assignees

• Fanuc Corp

Inventors

• Kurosumi Yasuhiko

Classifications

• G05B2219/50308

  Estimate wear from machining data and conditions · CPC title

• G05B19/4065 Primary

  Monitoring tool breakage, life or condition · CPC title

• G05B2219/50276

  Detect wear or defect tool, breakage and change tool · CPC title

• G01H17/00 Primary

  Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the other groups of this subclass · CPC title

• G06F30/17

  Mechanical parametric or variational design · CPC title