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Learning data confirmation support device, machine learning device, and failure predicting device
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An auxiliary device and machine learning technology, applied in machine learning, special data processing applications, instruments, etc., can solve problems such as mixing
Pending Publication Date: 2020-06-30
FANUC LTD
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However, as in Patent Document 1, regarding the proposal of confirming whether or not inappropriate data acquired under unusual conditions or operations is mixed, and screening and removing measurement data acquired under unusual conditions or actions, There is no record, no revelation
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no. 1 Embodiment approach
[0057] figure 1 It shows an example of a failure prediction system 100 including a robot 1 as an industrial machine, a robot control device 2, a learning data confirmation support device 3, a machine learning device 4, and a failure prediction device 5 related to an embodiment of the present invention. block diagram.
[0058] In this embodiment, the robot 1 is exemplified as an industrial machine, but the industrial machine in the present invention is not limited to a robot. Examples of industrial machines include machine tools controlled by numerical controllers, robot controllers, and the like, industrial robots, service robots, and various machines.
[0059] In the following description, the learning data confirmation assisting device 3 , the machine learning device 4 , and the failure predicting device 5 used for diagnosing failures of the drive unit of the robot 1 and the like will be described. However, the present invention can also be similarly applied to other arbit...
Deformed example 1
[0140] In the above-mentioned embodiments, an example in which an industrial robot including a robot and a robot control device is used as an industrial machine has been described, but the present invention is not limited thereto. For example, various machine tools and numerical controllers can be used as industrial machines.
Deformed example 2
[0142] In addition, in the above-mentioned embodiment, the robot control device 2 , the learning data confirmation support device 3 , the machine learning device 4 , and the failure prediction device 5 are respectively independent devices, but the present invention is not limited thereto.
[0143] For example, the robot control device 2 may include a learning data confirmation support device 3 , a machine learning device 4 , and a failure prediction device 5 . It is also possible for the robot control device 2 to include a failure prediction device 5 . The robot control device 2 may include at least one of the learning data confirmation support device 3 , the machine learning device 4 , and the failure prediction device 5 . In any case, the inclusion of these devices is a matter of simple design for those skilled in the art. It may also be a distributed processingsystem in which the functions of the robot control device 2 , learning data confirmation support device 3 , machi...
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Abstract
The invention provides a learning data confirmation support device, a machine learning device, and a failure predicting device to facilitate confirmation as to whether or not it is data measured by the same operation upon acquiring measurement data in an industrial machine. The learning data confirmation support device that facilitates confirmation of contamination of inappropriate data when learning data including only normal data are acquired in advance, in order to detect an anomaly of an industrial machine using machine learning, includes a data acquisition unit that acquires measurement data including time-series data representing at least one of a predetermined state quantity or control quantity relating to control when the industrial machine is made to perform a certain operation; and a display control unit that aligns a plurality of pieces of time-series data acquired by the data acquisition unit in a direction of a time axis and, in this state, superimposes a same type of pieces of data of the time-series data to display in a graph.
Description
technical field [0001] The present invention relates to a learning data confirmation support device, a machine learning device, and a failure prediction device capable of easily checking whether or not inappropriate data is mixed when acquiring training data used for machine learning. Background technique [0002] In a 6-axis robot (industrial robot) using a motor as an actuator, there is known a structure in which the torque of the motor is transmitted to the arm of the robot via a reducer, but the reducer is the most easily damaged (prone to failure) among such robots. ) components. In addition, the cause of the failure of the spindle or the motor driving the spindle in the machine tool is mostly caused by the deterioration or damage of the bearing of the motor. [0003] Here, when an industrial machine including an industrial robot or a machine tool is used in a degraded state of a reduction gear or a degraded main shaft, for example, it causes a significant decrease in ...
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