Information processing apparatus, machine learning device and system
AssigneeFanuc Corporation
InventorKazuyasu Mizusawa
Life of this patent
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Abstract
There is provided an information processing apparatus capable of identifying the cause of a data transfer error. The information processing apparatus for identifying a cause of occurrence of a data transfer error in data communication with a device includes: an error detection unit that detects occurrence of a data transfer error; a recording unit that records the number of detections of the data transfer error per a unit time; and an identification unit that identifies, on the basis of a trend in the number of detections of the data transfer error per the unit time, whether the cause of occurrence of the data transfer error is influence of noise or a hardware fault.
Claims10
An information processing apparatus for identifying a cause of occurrence of a data transfer error in data communication with a device, the information processing apparatus comprising:
- an error detection unit that detects occurrence of the data transfer error;
- a recording unit that records the number of detections of the data transfer error per a unit time;
- and
- an identification unit that identifies, on the basis of a trend in the number of detections of the data transfer error per the unit time, whether the cause of occurrence of the data transfer error is influence of noise or a hardware fault.
A machine learning device for learning a cause of occurrence of a data transfer error corresponding to the number of detections of the data transfer error per unit time in data communication with a device, the machine learning device comprising:
- a state observation unit that observes the number of detections of the data transfer error per the unit time as a state variable representing a current state of an environment;
- a judgment data acquisition unit that acquires judgment data indicating the cause of occurrence of the data transfer error;
- and
- a learning unit that learns by associating the number of detections of the data transfer error per the unit time and the cause of occurrence of the data transfer error using the state variable and the judgment data.
Dependencies are inferred from the claim text.