General Electric Company (Schenectady, NY)

According to certain embodiments the system and method are offered to generate a template associated with an industrial issue. The method comprises taking one or more kernels of a machine learning library. The kernels are then aggregated through a processor into the form of a template. The template is then integrated into an user interface, from which it is able to be used.

Maintenance of various machines like and not only, engines, turbines, aircraft and rail vehicles is essential for the longevity of the machines. The early detection and identification of problems, or potential problems, associated with themachines can help prevent losing use of machines as well as prevent secondary damage. A good example is that components of a machine may get damaged as time passes. Failure to fix or determine the cause of these issues could cause the machine to cease use.

If a user isn’t aware of the techniques used to alter sensors to identify anomalies may have a difficult time recognizing the signs. It would therefore be desirable to provide a systemto aid users in their ability to identify problems or possible problems discovered in raw sensor data, as well as an easy way to get useful information from the raw sensor data associated with a machine.

Some embodiments offer the system and method of creating a template that is associated with a data driven solution to an industry problem. This could involve anomaly detection, fault discovery or any other similarity to data driven approximations. Themethod could involve using the one or more kernels of a machine learning library. The one or more kernels are then merged through a wrapper code and transformed into the form of a template. The template may be integrated into an interface for users so that it could be executed or utilized in an application or a script. A technical advantage of some embodiments disclosed herein is improved systems and methods for providing functionality to users to assemble kernels into pipelines/workflows to solve specific problems or issues related to a machine.

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