General Electric Company

Magic Leap, Inc.

Abhishek Narain

Yan Xu

Shiuli Das

Suraj Manjunath Shanbhag

Manohar Swamynathan

Arindam Baral

Nagendra Perugupalli

Chris J Wang

Vikram Lakshmipathy

The example embodiments are directed to a system and method that applies knowledge developed by a subject matter expert with respect to a physical asset. In one example, the method includes receiving knowledge and issue resolution information developed of subject matter experts in association with historical issues for an asset, generating a plurality of data clusters for the asset based on the knowledge, wherein each historical issue of the asset is mapped to a cluster and includes a plurality of resolutions for the issue, receiving a new issue and new issue information, and processing the new issue by extracting keywords from the new issue information and assigning the new issue to a data cluster from among the plurality of data clusters based on the extracted keywords, and outputting, to a display, a cause of the new issue and potential solutions for the new issue.

Subject matter expert knowledge mapping using dynamic clustering

Systems and methods for depth plane selection in display system such as augmented reality display systems, including mixed reality display systems, are disclosed. A display(s) may present virtual image content via image light to an eye(s) of a user. The display(s) may output the image light to the eye(s) of the user, the image light to have different amounts of wavefront divergence corresponding to different depth planes at different distances away from the user. A camera(s) may capture images of the eye(s). An indication may be generated based on obtained images of the eye(s), indicating whether the user is identified. The display(s) may be controlled to output the image light to the eye(s) of the user, the image light to have the different amounts of wavefront divergence based at least in part on the generated indication indicating whether the user is identified.

Systems and methods for operating a head-mounted display system based on user identity

The example embodiments are directed to a device and method for determining a root cause of equipment failure. In one example, the method includes storing a plurality of root causes of previous equipment failures, receiving textual data associated with a current equipment failure, determining a root cause for the current equipment failure by determining a similarity of keywords of each root cause with respect to the received textual data of the current equipment failure and selecting at least one root cause based on the determined similarities of the plurality of root causes, and displaying the at least one determined root cause for the current equipment failure via a display device. The example embodiments provide a system and method that automatically determine a root cause of equipment failure rather than rely on a subject matter expert.

Determining root cause of locomotive failure

Growing community of inventors

San Ramon, CA, United States of America

Abhishek Narain