US 12,222,838 B2
System and methods for generating fault indications for an additive manufacturing process based on a probabilistic comparison of the outputs of multiple process models to measured sensor data
Harry Kirk Mathews, Jr., Clifton Park, NY (US); Sarah Felix, Niskayuna, NY (US); Subhrajit Roychowdhury, Schenectady, NY (US); Saikat Ray Majumder, Niskayuna, NY (US); and Thomas Spears, Springdale, OH (US)
Assigned to General Electric Company, Evendale, OH (US)
Filed by General Electric Company, Schenectady, NY (US)
Filed on Apr. 20, 2022, as Appl. No. 17/724,704.
Application 17/724,704 is a continuation of application No. 16/242,194, filed on Jan. 8, 2019, granted, now 11,327,870.
Prior Publication US 2022/0245048 A1, Aug. 4, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 11/34 (2006.01); B29C 64/393 (2017.01); B33Y 50/02 (2015.01); G06F 17/18 (2006.01); G06F 30/00 (2020.01)
CPC G06F 11/3447 (2013.01) [B29C 64/393 (2017.08); G06F 11/3409 (2013.01); G06F 17/18 (2013.01); G06F 30/00 (2020.01); B33Y 50/02 (2014.12)] 20 Claims
OG exemplary drawing
 
1. A non-transitory computer-readable medium comprising computer-executable instructions, which, when executed by a processor associated with an additive manufacturing machine, cause the processor to perform a method comprising:
receiving, via a communication interface, sensor data comprising one or more sensor values from one or more sensors of an additive manufacturing machine during an additive manufacturing process to manufacture at least one part;
computing, for respective ones of a plurality of models, a probability density function defining a probability that a selected set of the sensor data matches an output of a corresponding one of the plurality of models; and
outputting an indication of a defined condition being present during the additive manufacturing process, the defined condition corresponding to a selected one of the plurality of models, wherein the selected one of the plurality of models has at least a specified probability that the selected set of the sensor data matches the output of the selected one of the plurality of models.