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Railroads collect track asset condition data from many different points — including on-track inspection vehicles and wayside inspections systems. How do you use this data to make maintenance and infrastructure decisions? Data science can create opportunities for a better understanding of the degradation rate of track and vehicle components. In this webcast, we'll offer an introduction to several inspection data streams and applicable emerging data science techniques that define component degradation and failure. We'll also present several case study applications.
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