Ford Global Technolgoies, LLC

Ife Siffre

Robert Schroeter

Jackson Lenz

Boratha Tan

Methods and systems are provided for an insulation system of a stator. In one example, a method may include receiving images of the stator at an automated tool implemented at a processor of a computing system, the images depicting slots in in an inner surface of the stator, and processing the images using image processing and deep learning algorithms to provide processed images. The processed images may be input to an artificial intelligence (AI) model of the automated tool, the AI model trained to identify varnish in the processed images. obtained two-dimensional presentation of varnish distribution may be output from the AI model.

Methods and systems for non-destructive evaluation of stator insulation condition

Methods and systems are provided for verifying a deep learning tool for evaluating a varnish condition of a stator. In one example, a method for verifying the deep learning tool includes receiving images of replicas of a stator section at a processor of a computing system, the replicas of the stator section having different predetermined varnish fill percentages. The images are process and analyzed by the deep learning tool to output estimated varnish fill percentages. The estimated varnish fill percentages may be compared to the predetermined varnish fill percentages and a notification recommending at least one of further training of the deep learning tool and adjustments to an imaging setup for acquiring the images.

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Detroit, MI, United States of America

Ife Siffre