Monitoring and maintaining the state of health of railway installations is a key element of technological progress in the sector, which is why we continue to invest in this type of equipment. These include condition-based detection systems, data warehouses and Big Data systems that support data mining and advanced analysis, all supporting the health of the rolling stock and roadways.
Today the sector has proactive, condition-based monitoring that helps to maintain a safe and efficient rail network. With more sophisticated detection systems, tracking of critical railcar components, best operating practices and advanced analysis, potential mechanical problems can be recognized much earlier than in the past, generating usable data in quantities unimaginable even 10 years ago.
In addition, the railways' continuous investment in detection systems, the continuous development of new types of detectors, the improvement in the quality of field inspections and new analyses have made it possible to identify potential problems in railcars before service disruptions occur, reducing operating costs and repair times on individual networks.
But what exactly are the systems and technologies that allow this type of analysis? In the next articles we will analyse some of these techniques that allow us to travel safely at ever lower costs.
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