Machine learning method and machine learning device, and fault prediction device and fault prediction system

A machine learning and fault technology, applied in neural learning methods, machine learning, manipulators, etc., can solve problems such as lack of correctness, failure prediction methods not applicable to actual conditions, and complicated causes of faults, etc.

Active Publication Date: 2017-02-15
FANUC LTD
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  • Abstract
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Problems solved by technology

[0005] However, with the complexity or upgrade of industrial machinery, the causes of failures are also complicated
Therefore, the exis

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  • Machine learning method and machine learning device, and fault prediction device and fault prediction system
  • Machine learning method and machine learning device, and fault prediction device and fault prediction system
  • Machine learning method and machine learning device, and fault prediction device and fault prediction system

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[0029] Hereinafter, embodiments of a machine learning method and a machine learning device according to the present invention, and a failure prediction device and a failure prediction system including the machine learning device will be described with reference to the drawings. However, it should be understood that the present invention is not limited to the drawings or the embodiments described below. In order to facilitate the understanding of the present invention, the scales of the constituent elements of the illustrated embodiments are appropriately changed. In addition, the same reference signs are used for the same or corresponding structural elements.

[0030] figure 1 It is a block diagram showing an example of the failure prediction system of one embodiment. The failure prediction system 1 can learn conditions associated with failures of industrial machines (hereinafter referred to as "failure conditions") using the machine learning device 5 having a machine learni...

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Abstract

A machine learning method and a machine learning device, and a fault prediction device and a fault prediction system. fault prediction system includes a machine learning device that learns conditions associated with a fault of an industrial machine. The machine learning device includes a state observation unit that, while the industrial machine is in operation or at rest, observes a state variable including, e.g., data output from a sensor, internal data of control software, or computational data obtained based on these data, a determination data obtaining unit that obtains determination data used to determine whether a fault has occurred in the industrial machine or the degree of fault, and a learning unit that learns the conditions associated with the fault of the industrial machine in accordance with a training data set generated based on a combination of the state variable and the determination data.

Description

technical field [0001] The invention relates to a machine learning method and a machine learning device for learning failure conditions, and a failure prediction device and a failure prediction system equipped with the machine learning device. Background technique [0002] In industrial machinery, it is sometimes required to detect abnormalities in structural parts in advance in order to improve yield or prevent serious accidents. For example, a method of comparing an output value of a sensor with a predetermined threshold and detecting an abnormality based on the result is known. Here, "industrial machinery" refers not only to industrial robots and machinery controlled by a computer numerical control (CNC: Computer Numerical Control) device, but also to machinery including service robots and various machinery. [0003] Japanese Patent Application Laid-Open No. 63-123105 discloses a failure predictive diagnosis method for predicting failures of a robot by comparing a standa...

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Application Information

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IPC IPC(8): G09B25/02
CPCG09B25/02G05B23/024G06N3/084B25J9/1674G05B2219/37214G05B2219/50185G05B2219/34477G05B19/4065G06N3/044G06N20/00B25J9/163G05B13/0265G05B15/02G05B19/4063G05B2219/31359G05B2219/33321G06N3/04G06N3/08G06N5/048Y10S901/47Y02P90/02
Inventor 稻垣尚吾中川浩冈野原大辅奥田辽介松元睿一河合圭悟
Owner FANUC LTD
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