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The data processing challenges on complex machines are growing rapidly as the number of sensors increases; yet so are the opportunities to transform operations by using all the available data effectively.

A modern locomotive, for example, has as many as 200 sensors generating more than a billion data points per second.

Vibration sensors surround critical components, video cameras scan the track and cab, while other sensors monitor RPM, power, temperature, the fuel mix, exhaust characteristics, and more. Through fast analysis, the torrent of data from these sensors can help monitor locomotive health in real-time so dispatchers and power planners can make better, faster decisions to improve utilization and mission outcomes. The data can also be used to predict on-board problems and make quick adjustments, such as reducing speed so a train can make it home before a critical part fails. 

GE and Intel have come together to solve this challenge, and to lay the foundation for faster innovation across the full spectrum of industrial applications. GE GoLINC is a mobile data center that puts powerful data processing and flexible communications close to the data. GoLINC is purpose-built for rugged and remote industrial environments. It has proven its value on thousands of GE and non-GE locomotives run by nearly all of the tier one railroad operators in the United States.

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Total Cost of Ownership - Lowered due to reduction in labor cost and IT management.
Predictive Maintenance - The solution enables predictive maintenance which helps reduce maintenance costs.
Real-time Tracking - The location of individuals and assets can be identified in near real-time.
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