公开(公告)号：US20250131832A1

公开(公告)日：2025-04-24

申请号：US18491712

申请日：2023-10-20

Applicant: THE BOEING COMPANY

Inventor： Partha ADHIKARI

IPC: G08G5/00

Abstract: Techniques for anomaly detection are disclosed. These techniques include identifying a chain of operations for one or more systems, including a plurality of consecutive operations, and clustering operation phases in the chain of operations based on one or more operating conditions, using sensor data. The techniques further include computing statistical values for one or more parameters across the clustered operation phases, identifying one or more outlier parameters in the sensor data based on the computed statistical values, and excluding the one or more outlier parameters from the sensor data. The techniques further include computing one or more nominal values for one or more parameters of a first sub-system, of a plurality of sub-systems in the one or more systems, using the sensor data with the one or more outlier parameters excluded, and detecting an anomaly in the first sub-system based on the computed one or more nominal values.

公开(公告)号：US20250128826A1

公开(公告)日：2025-04-24

申请号：US18491706

申请日：2023-10-20

Applicant: THE BOEING COMPANY

Inventor： Partha ADHIKARI

IPC: B64D45/00

Abstract: Techniques for anomaly detection are disclosed. These techniques include identifying a plurality of three or more redundant sub-systems in a system. The techniques further include forming a plurality of combinations of the redundant sub-systems, each combination relating to a subset of the plurality of redundant sub-systems. The techniques further include identifying a first combination with the least variability among sub-systems, from among the plurality of combinations of redundant sub-systems. The techniques further include computing one or more nominal values for one or more parameters of a first sub-system, of the plurality of sub-systems, using the first combination, and detecting an anomaly in the first sub-system based on the computed one or more nominal values.