Ge Energy Power Conversion Technology Gmbh

General Electric Company

Stuart Gray

Luke Anthony Solomon

Sergio Dominguez

Alexander Richard Sieman

Michael Richard Doucette

David Johnson

David Huezo

Krishna Uppuluri

David Edmund Johnson

A system for use with an electric machine is provided. The system includes a processor and a memory comprising a set of memory modules, which, when executed by the processor, cause the processor to perform certain operations. The operations include receiving operational data from the electric machine, and generating, based on the operational data, a first set of diagnostic data, by executing a first memory module from the set of memory modules. The operations further include generating, based on the operational data, a second set of diagnostic data, by executing a second memory module from the set of memory modules, the second memory module including a set of parameters associated with a diagnostics model of the electric machine. Furthermore, the operations include effecting, based on the operational data, the first set of diagnostic data, and the second set of diagnostic data, a change in at least one parameter.

Method and system for diagnostics and monitoring of electric machines

Provided is an energy storage system for a marine vessel. The energy storage system includes a battery pack and a storage container (i) configured for housing the battery pack and other components and (ii) including an electrical interface for electrically coupling the battery pack to the vessel. The energy storage system also includes an air blast cooling system (i) mountable to a first section of the container and (ii) for cooling the battery pack and an air conditioning system configured for cooling the other components.

Plug and play energy storage system

There is provided a system for analyzing and controlling a productivity of a drilling apparatus. The exemplary system includes a processor and a memory including instructions that cause the processor to perform certain operations. The operations can include receiving information from a control system of the drilling apparatus and determining a key performance metric based on the information. The operations can further include performing a comparison between the key performance metric and at least one other key performance metric. Furthermore, the operations can further include instructing, based on the comparison, the control system to alter the productivity of the drilling apparatus.

Systems and methods for drilling productivity analysis

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Houston, TX, United States of America

Stuart Gray