US 12,437,415 B2
Methods and systems for non-destructive evaluation of stator insulation condition
Robert Schroeter, Livonia, MI (US); Jackson Lenz, Southfield, MI (US); Boratha Tan, Detroit, MI (US); and Ife Siffre, Detroit, MI (US)
Assigned to Ford Global Technologies, LLC, Dearborn, MI (US)
Filed by Ford Global Technologies, LLC, Dearborn, MI (US)
Filed on Oct. 3, 2022, as Appl. No. 17/937,644.
Prior Publication US 2024/0112350 A1, Apr. 4, 2024
Int. Cl. G06T 7/174 (2017.01); G06T 7/38 (2017.01); G06V 10/26 (2022.01)
CPC G06T 7/174 (2017.01) [G06T 7/38 (2017.01); G06V 10/26 (2022.01); G06T 2207/10064 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A method of evaluating a varnish condition of a stator, comprising:
illuminating an inner surface of the stator using a UV light source, the inner surface including slots;
obtaining a fluorescence image of the inner surface via digital imaging equipment and transmitting the fluorescence image to a processor;
segmenting the fluorescence image into slot profiles, using image processing algorithms implemented at the processor, by aligning the fluorescence image with a photograph of the inner surface of the stator and dividing the fluorescence image into segments, each segment corresponding to a slot of the slots;
constructing a fluorescence signature for the slot, via a machine learning model implemented at the processor, by deconstructing a segment corresponding to the slot at a pixel-scale resolution and matching pixels of the segment to pixels of ground truth images;
outputting a two-dimensional (2D) representation of the fluorescence signature of the slot from the machine learning model; and
displaying the 2D representation at a display device.