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2018 - March - Whiteside/Moody/Helmus - Data Analytics for Rail Insights into the Digital Transformation 2018 - March - Whiteside/Moody/Helmus - Data Analytics for Rail Insights into the Digital Transformation

Christopher Whiteside and Heather Moody

Siemens Ltd

Dr. Rhena Helmus

Siemens AG

Rail-based systems are exposed to various operational demands brought about either by high mechanical loading or
external influences. At the same time, billions of passengers and freight goods rely on rail systems every day. Safety,
availability, and reliability are key for a competitive rail-based transport. To capture any abnormal behaviour during
operations, data is generated by various sources for a better understanding of interacting phenomena and to prevent
component failure in advance. In order to move forward to a smart infrastructure, insights gained by the analysis of
historical and real time data have to be turned into actions.

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Created2018-04-08
Created byBill Milburn
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