Anomaly prediction and detection for aircraft equipment

US11580794B2 · kind B2 · utility

Assignee

• The Boeing Company · US

Inventors

• Dmitriy Korchev · Irvine, US
• Charles E. Martin · Santa Monica, US
• Tsai-Ching Lu · Lansdowne, US
• Steve Slaughter · Scottsdale, US
• Alice A. Murphy · Mesa, US
• Derek S. Fok · Mesa, US

Key dates

• Filing date: Apr 8, 2020
• Grant date: Feb 14, 2023
• Expiry date: May 21, 2041

Classification

• Technology area (CPC B): Performing Operations; Transporting
• CPC primary: B64D2045/0085
• WIPO field: Control
• WIPO sector: Instruments

Abstract

A method includes obtaining sensor data captured by a sensor of an aircraft during a power up event. The sensor data includes multiple parameter values, each corresponding to a sample period. The method further includes determining a set of delta values, each indicating a difference between parameter values for consecutive sample periods of the sensor data. The method further includes determining a set of quantized delta values by assigning the delta values to quantization bins based on magnitudes of the delta values. The method further includes determining a normalized count of delta values for each quantization bin. The method further includes comparing the normalized counts of delta values to anomaly detection thresholds. The method further includes generating, based on the comparisons, output indicating whether the sensor data is indicative of an operational anomaly.