公开(公告)号：US20240193483A1

公开(公告)日：2024-06-13

申请号：US18536017

申请日：2023-12-11

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Nitsan Ben-Gal Nguyen ,  Haleh Hagh-Shenas ,  Karthik Subramanian ,  Jesse T. Pikturna ,  Janna M. Keeler ,  Elizabeth A. Oliver

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Method for detecting anomalous data in a manufacturing line or live sensing application. The method includes computing a projection of new incoming data on a trained model and identifying potential anomalies by comparing a window for the incoming data to normal representation criteria based upon user-specified thresholds. The trained model is created by applying hoteling T2 statistics and Q-residual to clean up outliers from an historic time interval of data and calculating principal components of the data and choosing a subset of components which represent a variability in the data. A model deployment pipeline is generated from the trained model and which is capable of deploying machine learning or statistical models to an edge and cloud infrastructure associated with the manufacturing line or live sensing application.