公开(公告)号：US20200065690A1

公开(公告)日：2020-02-27

申请号：US16109194

申请日：2018-08-22

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Alessandra Neri ,  Maria Camuglia ,  Alessia Tuninetti ,  Elena Baralis ,  Flavio Giobergia ,  Davide Tricarico

IPC: G06N5/04 ,  G07C5/08

Abstract: A system and method of determining system status in a vehicle system. The method including collecting, by a computing system, a plurality of data associated with a test specimen and the vehicle system, selecting a relevant data set of the plurality of data, the selecting based on at least one correlation coefficient associated with the plurality of data, and transforming at least a portion of the selected relevant data to form a transformed data set, the transforming based on mathematical properties. The method also includes collecting statistics associated with the selected relevant data set and the transformed data set to form a statistics data set, classifying the selected relevant data set, transformed data set, and the statistics data set; and predicting a status of a system based on the classifying.

公开(公告)号：US11423321B2

公开(公告)日：2022-08-23

申请号：US16109194

申请日：2018-08-22

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Alessandra Neri ,  Maria Camuglia ,  Alessia Tuninetti ,  Elena Baralis ,  Flavio Giobergia ,  Davide Tricarico

IPC: G06N5/04 ,  G07C5/08

Abstract: A system and method of determining system status in a vehicle system. The method including collecting, by a computing system, a plurality of data associated with a test specimen and the vehicle system, selecting a relevant data set of the plurality of data, the selecting based on at least one correlation coefficient associated with the plurality of data, and transforming at least a portion of the selected relevant data to form a transformed data set, the transforming based on mathematical properties. The method also includes collecting statistics associated with the selected relevant data set and the transformed data set to form a statistics data set, classifying the selected relevant data set, transformed data set, and the statistics data set; and predicting a status of a system based on the classifying.