公开(公告)号：US20230359933A1

公开(公告)日：2023-11-09

申请号：US18141628

申请日：2023-05-01

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Karthik Subramanian ,  Anish R. Kunduru ,  Nicholas John Blum

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: A method includes obtaining annotated seed data comprising one or more tags associated with corresponding timing data and a respective label, training a semi supervised learning algorithm (SSLA) using the annotated seed data to form a trained SSL model, executing the trained SSL model using unlabeled time series process data as an input, wherein the unlabeled time series process data includes tags different from the tags of the annotated seed data to output a pre-validation labeled time series process dataset, obtaining output evaluation data associated with the pre-validation labeled time series process dataset, iteratively retraining the trained SSL model using the output evaluation data, determining that the trained SSL model has reached convergence based on the output evaluation data indicating that the trained SSL model outputs validated labeled time series data, and in response to determining that the trained SSL model has reached convergence, deploying the trained SSL model.