Invention Grant
- Patent Title: Unsupervised multivariate relational fault detection system for a vehicle and method therefor
-
Application No.: US15795823Application Date: 2017-10-27
-
Publication No.: US10719772B2Publication Date: 2020-07-21
- Inventor: John M. Boggio
- Applicant: The Boeing Company
- Applicant Address: US IL Chicago
- Assignee: The Boeing Company
- Current Assignee: The Boeing Company
- Current Assignee Address: US IL Chicago
- Agency: Perman & Green LLP
- Main IPC: B64D45/00
- IPC: B64D45/00 ; G06N5/04 ; G07C5/08 ; G05B23/02 ; G07C5/00

Abstract:
A vehicle fault detection system including a plurality of sensors coupled to a vehicle system and configured to detect respective time series of data, where each time series of data corresponds to a component parameter of a plurality of component parameters, a vehicle control module coupled to the plurality of sensors, the vehicle control module being configured to determine an existence of one or more relationships between the plurality of component parameters, and identify anomalies in the respective time series of data based on the one or more relationships between the plurality of component parameters, and a user interface coupled to the vehicle control module, the user interface being configured to present to an operator an indication of the anomalies in the respective time series of data.
Public/Granted literature
- US20190130288A1 UNSUPERVISED MULTIVARIATE RELATIONAL FAULT DETECTION SYSTEM FOR A VEHICLE AND METHOD THEREFOR Public/Granted day:2019-05-02
Information query