Method of learning neural network, recording medium, and remaining life prediction system
AssigneeNEC Corporation
InventorMasanao Natsumeda
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AssigneeNEC Corporation
InventorMasanao Natsumeda
Estimating the term…
Provided is a method of learning a neural network that predicts a remaining life of a target device that is a maintenance target. The neural network includes: (i) a first model for predicting a remaining life at an arbitrary time of maintenance cycle data, as a value based on an arbitrary reference value; and (ii) a second model for predicting a remaining life at a final time of the maintenance cycle data, as a value based on the reference value. The method comprises updating a weight parameter of the first model so as to predict a remaining life based on an end of the maintenance cycle data, by using an output of the first model and an output of the second model that are obtained from learning data including a plurality of maintenance cycle data.
A method of learning a neural network that predicts a remaining life of a target device that is a maintenance target, wherein
A non-transitory recording medium on which a computer program that allows a computer to execute a method of learning a neural network that predicts a remaining life of a target device that is a maintenance target is recorded, wherein
A remaining life prediction system comprising a neural network that predicts a remaining life of a target device that is a maintenance target, wherein
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