Justify increased funding for precision maintenance like re-profiling and friction management. DigitalClone quantifies the life extension and financial impact of making changes to the type of maintenance or frequency of application, so the railroads can prescribe the optimal series of maintenance actions to the right parts of their network. This data can be leveraged in enterprise asset management frameworks for decision support.
Accelerate how quickly new vendors are adopted by reducing risk of quality issues and premature failures. DigitalClone quantifies life of new products and compares life extension and financial impact to current networks, substantially reducing evaluation periods.
Reduce a significant technical challenge for railroads based on volume and quality of existing data. Today, railroads have been forced to rely on data-driven approaches that use limited and low-quality historical data to predict future trends. Alternatively, railroads use in-field and/or in-lab testing, which is time consuming and expensive. The DigitalClone approach only requires a "snapshot" of the railroad as it is today, and removes significant barriers, so railroads can make the most efficient decisions to deploy their capital and extend track life faster.
Wesley Thomas presented as part of 26th Annual Wheel Rail Interaction Conference (WRI 2021). Sentient Science presented case study from the New York State Energy Research and Development Authority (NYSERDA).Read More
Dan Hampton and Wesley Thomas presented as part of 26th Annual Wheel Rail Interaction Conference (WRI 2021). CSX presented case study of designing new rail profiles with National Research Council of Canada and Sentient Science.Read More
Wesley Thomas presented as part of Mass Transit Magazine’s Transit State of Good Repair Conference – Ninth Edition in Session 8: Planning and Delivery of Capital Projects.Read More