Invention Grant
- Patent Title: High frequency sensor data analysis and integration with low frequency sensor data used for parametric data modeling for model based reasoners
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Application No.: US16583678Application Date: 2019-09-26
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Publication No.: US10725463B1Publication Date: 2020-07-28
- Inventor: Sunil Dixit
- Applicant: Northrop Grumman Systems Corporation
- Applicant Address: US VA Falls Church
- Assignee: NORTHROP GRUMMAN SYSTEMS CORPORATION
- Current Assignee: NORTHROP GRUMMAN SYSTEMS CORPORATION
- Current Assignee Address: US VA Falls Church
- Agency: McCracken & Gillen LLC
- Main IPC: G05B23/02
- IPC: G05B23/02 ; B64D45/00 ; G06F17/15 ; G06N3/04

Abstract:
A method implemented by a computing system identifies anomalies that represents potential off-normal behavior of components on an aircraft based on data from sensors during various modes of operations including in-flight operation of the aircraft. High-frequency sensor outputs monitor performance parameters of respective components. Anomaly criteria is dynamically selected and the high-frequency sensor outputs are compared with the anomaly criteria where the comparison results determine whether potentially off-normal behavior exists. A conditional anomaly tag is inserted in the digitized representations of first high-frequency sensor outputs where the corresponding comparison results indicate potentially off-normal behavior. At least the digitized representations of the first high-frequency sensor outputs containing the conditional anomaly tag are sent to a computer-based diagnostic system for a final determination of whether the conditional anomaly tag associated with the respective components represents off-normal behavior for the respective components.
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