Machine learning apparatus and method for learning predicted life of motor, life prediction apparatus and motor system including machine learning apparatus
AssigneeFanuc Corporation
InventorChao ZHI
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Abstract
A machine learning apparatus that learns a condition associated with a predicted life of a motor includes: a state observation unit that observes a state variable composed from at least one of output data of a sensor that detects an operation state of the motor and data relating to presence or absence of a failure in the motor; an actual life data acquisition unit that acquires data relating to an actual life of the motor; and a learning unit that learns the condition associated with the predicted life of the motor in accordance with a training data set created based on a combination of the state variable and the actual life.
Claims12
A machine learning apparatus that learns a condition associated with a predicted life of a motor, the machine learning apparatus comprising:
- a state observation unit that observes a state variable composed from at least one of output data of a sensor that detects an operation state of the motor and data relating to presence or absence of a failure in the motor;
- an actual life data acquisition unit that acquires data relating to an actual life of the motor;
- and
- a learning unit that learns the condition associated with the predicted life of the motor in accordance with a training data set created based on a combination of the state variable and the actual life.
A machine learning method that learns a condition associated with a predicted life of a motor, comprising:
- a state observation step that observes a state variable composed from at least one of output data of a sensor that detects an operation state of the motor and data relating to presence or absence of a failure in the motor;
- an actual life data acquisition step that acquires data relating to an actual life of the motor;
- and
- a learning step that learns the condition associated with the predicted life of the motor in accordance with a training data set created based on a combination of the state variable and the actual life.
Dependencies are inferred from the claim text.