公开(公告)号：US20170344909A1

公开(公告)日：2017-11-30

申请号：US15598312

申请日：2017-05-18

Applicant: FANUC CORPORATION

Inventor： Yuuki KUROKAWA ,  Tetsurou MATSUDAIRA ,  Yoshikiyo TANABE

IPC: G06N99/00 ,  G06N5/04

CPC classification number: G06N20/00 ,  G06F11/30 ,  G06N3/084 ,  G06N5/04 ,  Y02P90/86

Abstract: A machine learning device learning a condition associated with an end-of-life failure of an electronic component in network-connected equipment connected to a network, including a state observation unit that observes a state variable obtained based on at least one of a hardware configuration, manufacturing information, an operating status, a use condition, and an output from a sensor detecting a state of a surrounding environment of the network-connected equipment; a determination data acquisition unit that acquires determination data on determination of presence or absence of the end-of-life failure or a degree of the end-of-life failure of the electronic component in the network-connected equipment; and a learning unit that learns, based on training data created from an output from the state observation unit and an output from the determination data acquisition unit, and teacher data, a condition associated with the end-of-life failure of the electronic component in the network-connected equipment.