General Electric Company

Transportation IP Holdings, LLC

Westinghouse Air Brake Technologies Corporation

Ge Global Sourcing LLC

Tab Robert Mong

Stephen Francis Bush

Ajith Kuttannair Kumar

Wolfgang Daum

Andrew William Berner

Kyle Craig Stott

Richard Gawrelski

Rekha Doddarangaiah Prasad

John Manison

A control system includes a controller configured to control communication between or among plural vehicle devices that control operation of a vehicle via a network that communicatively couples the vehicle devices. The controller also is configured to control the communication using a data distribution service (DDS) and with the network operating as a time sensitive network (TSN). The controller is configured to direct a first set of the vehicle devices to communicate using time sensitive communications, a different, second set of the vehicle devices to communicate using best effort communications, and a different, third set of the vehicle devices to communicate using rate constrained communications.

Vehicle control system

A vehicle control system includes a controller configured to control communication between or among plural vehicle devices that control movement of a single vehicle system or a multi-vehicle system via a network that communicatively couples the vehicle devices. The controller also is configured to control the communication using a data distribution service (DDS) and with the network operating as a time sensitive network (TSN). The controller is configured to direct a first set of the vehicle devices to communicate using time sensitive communications, a different, second set of the vehicle devices to communicate using best effort communications, and a different, third set of the vehicle devices to communicate using rate constrained communications.

A locomotive control system includes a controller configured to control communication between or among plural locomotive devices that control movement of a locomotive via a network that communicatively couples the vehicle devices. The controller also is configured to control the communication using a data distribution service (DDS) and with the network operating as a time sensitive network (TSN). The controller is configured to direct a first set of the locomotive devices to communicate using time sensitive communications, a different, second set of the locomotive devices to communicate using best effort communications, and a different, third set of the locomotive devices to communicate using rate constrained communications.

A locomotive control system includes one or more processors configured to determine quality of service (QoS) parameters of locomotive devices communicating data with each other in an Ethernet network that is configured as a time sensitive network (TSN) and that is onboard a locomotive. The one or more processors also are configured to determine available communication pathways in the TSN through which the locomotive devices are able to communicate the data. The one or more processors also are configured to select one or more of the available communication pathways and to designate communication times at which the data is communicated between the locomotive devices to satisfy the QoS parameters of the locomotive devices.

The example embodiments are directed to a system and method for a virtual processor that enables unobtrusive observation of legacy systems for analytics in a system-on-chip (SoC) environment. In one example, the method includes implementing a virtual processor in field programmable gate array (FPGA) programmable logic, the virtual processor comprising a virtual version of a target system, capturing one or more operational parameters in volatile memory of the virtual processor using an access controller configured to provide direct access to the volatile memory of the virtual processor, streaming the one or more operational parameters to the embedded processor, storing the one or more operational parameters in volatile memory of the embedded processor, and performing in-situ monitoring using the one or more operational parameters.

Virtual processor enabling unobtrusive observation of legacy systems for analytics in SoC

The example embodiments are directed to a system and method for a virtual processor that enables real-time in situ disassembly and debugging. In one example, the method includes implementing a virtual processor in field programmable gate array (FPGA) programmable logic, the virtual processor comprising a virtual version of a target system, capturing data representative of operations in the virtual processor using a bus access device configured to provide direct access to components of the virtual processor, streaming the data to the embedded processor, storing the data in the memory device, and performing in-situ disassembly and debugging.

Virtual processor enabling real-time in situ disassembly and debugging in SoC environment

A method for controlling operation of a propulsion system of a waterborne vessel, comprising adjusting recovery of energy generated from the propulsion system to maintain position of the waterborne vessel in response to at least an indication of vessel position.

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Erie, PA, United States of America

Tab Robert Mong