Predicting the Future – Not with a Crystal Ball, but with Data

Norfolk Southern (NS) locomotives transmit 350+ diagnostic elements about their engines and mechanical parts in real-time to the back-office. Utilizing a multitude of historical and real-time diagnostic data and a history of component failures, NS has created a reliable Artificial Intelligence (AI)-based predictive model that detects mission-critical breakdowns with a high degree of confidence on average a week in advance. Integrated seamlessly with SAP-based Locomotive Health app, the AI operates autonomously and generates a work-order within the SAP EAM suite. This gives visibility to the locomotive shops and crews about the health of the locomotive and gives them enough time to address the issue thus preventing impacts on operations.

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