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US 12,606,317 B2Granted
Anomaly detection and fault isolation for vehicle sub-systems
AssigneeThe Boeing Company
InventorPartha Adhikari
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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.
Claims20
A method, comprising:
- identifying a plurality of three or more redundant sub-systems in a system associated with a vehicle;
- forming a plurality of combinations of the redundant sub-systems, each combination relating to a subset of the plurality of redundant sub-systems;
- obtaining sensor values measured directly via one or more sensor devices;
- identifying a first combination with the least variability among a plurality of sub-systems, from among the plurality of combinations of redundant sub-systems,
- wherein identifying the first combination with the least variability is based on measured sensor values for the plurality of sub-systems and parameters from one or more digital twins associated with the one or more redundant sub-systems, and
- wherein the one or more digital twins are virtual representations related to the one or more redundant sub-systems;
- 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;
- detecting an anomaly in the first sub-system based on the computed one or more nominal values;
- isolating the first sub-system based on detecting the anomaly;
- and
- performing, based on isolating the first sub-system, at least one of repairing or disabling a component of the first sub-system.
8 more elements
A system, comprising:
- one or more processors;
- and
- one or more memories storing a program, which, when executed on any combination of the one or more processors, performs an operation, the operation comprising:
- obtaining sensor values measured directly via one or more sensor devices;
- identifying a plurality of three or more redundant sub-systems in a system,
- wherein identifying the first combination with the least variability is based on measured sensor values for the plurality of sub-systems and parameters from one or more digital twins associated with the one or more redundant sub-systems, and
- wherein the one or more digital twins are virtual representations related to the one or more redundant sub-systems;
- forming a plurality of combinations of the redundant sub-systems, each combination relating to a subset of the plurality of redundant sub-systems;
- identifying a first combination with the least variability among sub-systems, from among the plurality of combinations of redundant sub-systems;
- 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;
- detecting an anomaly in the first sub-system based on the computed one or more nominal values;
- isolating the first sub-system based on detecting the anomaly;
- and
- performing, based on isolating the first sub-system, at least one of repairing or disabling a component of the first sub-system.
11 more elements
A computer program product comprising:
- a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by one or more computer processors to perform an operation, the operation comprising:
- obtaining sensor values measured directly via one or more sensor devices;
- identifying a plurality of three or more redundant sub-systems in a system;
- forming a plurality of combinations of the redundant sub-systems, each combination relating to a subset of the plurality of redundant sub-systems;
- identifying a first combination with the least variability among sub-systems, from among the plurality of combinations of redundant sub-systems,
- wherein identifying the first combination with the least variability is based on measured sensor values for the plurality of sub-systems and parameters from one or more digital twins associated with the one or more redundant sub-systems, and
- wherein the one or more digital twins are virtual representations related to the one or more redundant sub-systems;
- 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;
- detecting an anomaly in the first sub-system based on the computed one or more nominal values;
- isolating the first sub-system based on detecting the anomaly;
- and
- performing, based on isolating the first sub-system, at least one of repairing or disabling a component of the first sub-system.
9 more elements
Dependencies are inferred from the claim text.