US 11,719,727 B1
Systems and methods for screening particle source manufacturing and development test data
Rosalie A. Multari, Albuquerque, NM (US); Jaideep Ray, Tracy, CA (US); Lisa Michelle Miller, Rio Rancho, NM (US); Paul Girard Cummings, Jr., Albuquerque, NM (US); Robert Ferrizz, Albuquerque, NM (US); Lisa A. Walla, Albuquerque, NM (US); Nishant Bhupendra Patel, Albuquerque, NM (US); Shawn Martin, Sandia Park, NM (US); and Curtis Co, Albuquerque, NM (US)
Assigned to National Technology & Engineering Solutions of Sandia, LLC, Albuquerque, NM (US)
Filed by National Technology & Engineering Solutions of Sandia, LLC, Albuquerque, NM (US)
Filed on Feb. 10, 2021, as Appl. No. 17/172,353.
Claims priority of provisional application 62/972,209, filed on Feb. 10, 2020.
Int. Cl. G01R 19/00 (2006.01); G06N 20/00 (2019.01)
CPC G01R 19/0061 (2013.01) [G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computing system, comprising:
a processor; and
memory storing instructions that, when executed by the processor, cause the processor to perform acts comprising:
obtaining test data for a particle source, wherein the test data is associated with the particle source when the particle source was caused to emit particles, wherein the test data comprises a first set of measurements of a first type and a second set of measurements of a second type, wherein the first set of measurements of the first type comprises voltage data of the particle source as the particle source is caused to emit the particles, and further wherein the second set of measurements of the second type comprises electrical current data of the particle source as the particle source is caused to emit the particles;
applying a data agnostic predictive model to the test data, wherein the data agnostic predictive model is generated without a parametric analysis of variables of the first type and variables of the second type, wherein the data agnostic predictive model outputs, based upon the test data, a value that is indicative of whether or not the test data is abnormal; and
based upon the value, outputting an indication that the particle source was operating sub-optimally when emitting the particles.