General Electric Company

Kevin Clement Metz

Bruce Clark Busbey

Sanjeev Shyam Heda

Xiaomo Jiang

Aaron David Williamson

Devang Jagdish Gandhi

Bradley Wile

Bhushan Suhas Thatte

James John D'Amato

Cleveland Clifford Matthew Joseph, Jr

A tool for removal of a bushing (such as a bushing of a variable stator vane assembly of a compressor) is provided. The tool includes a cylindrical housing, a lead screw, a threaded nut, and a pulling module with puller arms to engage the bushing. The housing defines a longitudinal axis along which the lead screw extends. The lead screw is rotatably secured within the cylindrical housing by a threaded nut engaged with the lead screw. The pulling module is removably attached to the threaded nut, such that the lead screw passes through the threaded nut before passing through the pulling module. The pulling module is provided with a pair of oppositely disposed puller arms, and each puller arm is provided with a hook portion having an engagement tab configured to engage a respective notch on the bushing. A method of removing the bushing using the tool is also disclosed.

Tool and method for removal of variable stator vane bushing

A system is provided comprising a memory configured to store instructions and a processor configured to execute the instructions. The processor is configured to execute the instructions to receive sensor data comprising sensed operations for a machinery, the sensed operations sensed via one or more sensors disposed in the machinery, and to derive a first model matrix based on the sensor data. The processor is further configured to derive a covariance regression model based on the first model matrix, wherein the covariance regression model is configured to be executed to derive a predictive event based on operational machinery data as input.

System and method for issue detection of industrial processes

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Cumming, GA, United States of America

Kevin Clement Metz