公开(公告)号：US20210182738A1

公开(公告)日：2021-06-17

申请号：US16716685

申请日：2019-12-17

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Paul ARDIS ,  Andrew Cohen ,  Weizhong YAN

IPC: G06N20/20 ,  G06N5/04

Abstract: Some embodiments provide systems and methods associated with an industrial asset. An ensemble of learners (e.g., base learner models) may comprise a digital twin that corresponds to the industrial asset. A learning agent platform (e.g., associated with reinforcement learning), coupled to the ensemble of learners, may manage the ensemble by receiving information about current operation of the industrial asset. The platform may then apply learning to the received information and generate data that modifies the ensemble of learners (e.g., by adding, pruning, and/or modifying models in the ensemble). In some embodiments, a boosting scheme may be employed to enhance decision making by the learning agent platform (e.g., a learner's voting weight might be inversely proportional to its error on a previous batch of information).