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Manufacture modeling and monitoring

  • US 9,864,366 B2
  • Filed: 03/14/2014
  • Issued: 01/09/2018
  • Est. Priority Date: 03/15/2013
  • Status: Active Grant
First Claim
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1. A method of monitoring manufacture of a particular type of part by a manufacturing process including a plurality of manufacturing steps in a system of the type that includes at least one processing unit and a memory, the method comprising:

  • receiving a non-destructive evaluation (NDE) dataset, wherein the NDE dataset is associated with a manufactured part of the particular type of part, wherein the NDE dataset for the manufactured part includes a plurality of NDE data points and inspection information, wherein each NDE dataset corresponds to data collected during a non-destructive evaluation process of the particular part;

    aligning the NDE dataset to a simulated model associated with at least a portion of the particular type of part, including aligning each NDE data point to a corresponding simulated location on the simulated model wherein the step of aligning the NDE dataset involves;

    determination, from an analysis of the NDE dataset, of the non-destructive evaluation process by which the NDE data was collected;

    selection of an alignment algorithm based on the determined non-destructive evaluation process;

    using the selected alignment algorithm, transformation of the NDE data points into a coordinate system of the simulated model for locating the NDE data points on the simulated model;

    analyzing at least a subset of the aligned NDE data points and the simulated location corresponding to each aligned NDE data point of the subset to determine a spatially correlated statistic which is a value that is at least one of a measurement or calculated from a measurement that is associated with the manufactured part and that corresponds to a spatial area of that part and is based at least partially on the NDE data points of the subset and the corresponding simulated locations for the particular part; and

    generating output data based at least partially on the spatially correlated statistic.

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