System and method for prediction of pitting corrosion growth
AssigneeHoneywell International Inc.
InventorsLalitha M. Eswara, Lokesh R. Boregowda, Thirumaran Ekambaram
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Abstract
A system and method predicts pitting corrosion growth using imaging technology. In an embodiment, a first module preprocesses images to locate seed points, and a second module models a corrosion life cycle of the seed points. In another embodiment, the seed points are identified with defined confidence levels, and the rate of change of features in corrosion images is analyzed to identify dominant life-cycle phases of corrosion and defining corrosion impact factor for corrosion quantification.
Claims19
A computerized process comprising:
- capturing a first image in an image acquisition system, the image acquisition system including a processor;
- capturing successive images in the image acquisition system;
- preprocessing in the processor the first and successive images acquired by the image acquisition system to locate seed points, the preprocessing comprising subtracting said successive images from said first image;
- using said processor to subject output of said preprocessing to feature extraction;
- and
- using said processor to model a life cycle of corrosion resulting from said seed points;
- wherein said seed points are identified by identifying an expected direction of change in said seed points.
A computer-readable medium embodying a program comprising instructions thereon for executing a process comprising:
- capturing a first image in an image acquisition system, the image acquisition system including a processor;
- capturing successive images in the image acquisition system;
- preprocessing the first and successive images to locate seed points, the preprocessing comprising subtracting said successive images from said first image;
- subjecting output of said preprocessing to feature extraction;
- and
- modeling a life cycle of corrosion resulting from said seed points;
- wherein said seed points are identified by identifying an expected direction of change in said seed points.
A computerized method to predict corrosion comprising:
- using a processor for:
- capturing a plurality of images;
- comparing said captured images with a reference image;
- subtracting said captured images from said reference image;
- correlating between captured images to differentiate between corroded and non-corroded images;
- constructing sub-regions of said captured images;
- identifying regions of interest in said sub-regions to characterize corrosion seed points based on rates of change of features of said corrosion;
- identifying a dominant phase of corrosion at said seed points based on said rate of change of features;
- identifying the effect of said features on each of said seed points on proximate seed points and state of corrosion of said sub-region;
- and
- calculating an impact factor to predict the state of corrosion of said sub-regions.
Dependencies are inferred from the claim text.