Non-linear mvu filtering for digital twinning
AssigneeUniversity of New Hampshire
InventorsSaeed EFTEKHAR AZAM, Mohsen Ebrahimzadeh HASSANABADI, Martin Masanes DIDYK, Daniel LINZELL
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Abstract
Systems and methods for applying non-linear minimum variance unbiased filtering for digital twinning in systems without direct feedthrough and unknown load information. In one example a method includes acquiring, with a camera, a plurality of images of a structure, deriving, from the plurality of images and by using computer vision analysis, a time-sequence of measurements of the structure to produce input data, and applying a non-linear minimum variance unbiased filter to the input data to generate an estimate of at least one parameter of the structure.
Claims15
A method comprising:
- acquiring, with a camera, a plurality of images of a structure;
- deriving, from the plurality of images and by using computer vision analysis, a time-sequence of measurements of the structure to produce input data;
- and
- applying a non-linear minimum variance unbiased filter to the input data to generate an estimate of at least one parameter of the structure.
A computer program product comprising one or more non-transitory machine-readable mediums having instructions encoded thereon that when executed by at least one processor cause an estimation process using minimum variance unbiased filtering to be carried out, the estimation process comprising:
- obtaining a biased initial estimate of an augmented state vector corresponding to at least one parameter of a structure, the augmented state vector being described by a difference function that includes an input vector;
- predicting the input vector based on an observation noise function derived from measurement data for the structure;
- generating an unbiased estimate of the augmented state vector based on the input vector;
- and
- producing an estimate of the at least one parameter based on the unbiased estimate of the augmented state vector.
Dependencies are inferred from the claim text.