railway track crack detection system project ppt

This helps to work out whether such an investment will be worthwhile. Only then should the project consider how to identify the necessary data and the best technology to capture and process it. Our experience in rail and other sectors is that successful analytics projects start with clarifying the problems that need to be solved and the decisions that are needed to advance forward. Collecting the data for predictive maintenance

Therefore, there is an important cost-benefit case which must be made ahead of any major investment into predictive maintenance. However, it also means that older trains currently in service, that were not built for modern connectivity, require investment to be able to do so. That means that technologies enabling predictive maintenance, reducing operating costs and extending a fleet’s lifetime, have the potential to deliver huge financial rewards.

This is less of a driving factor for trains and the strategic focus tends to be on keeping them in service for as long as possible, to get value out of the considerable initial investment. Planes and cars are renewed more regularly to take advantage of efficiency improvements from new designs. Is predictive maintenance a good rail investment?įleets of trains last a long time.

Railway track crack detection system project ppt