Page 30 - 360.revista de Alta Velocidad - Nº 5
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Coca, Marcos




                 Raising  the  introduction  of  Connected  Tools  in  a  rail  maintenance  workshop  would  require
                 assessing how the new technology will bring value and will help to optimize the process together
                 with an estimation of the expected return, likewise identifying the adjustments or redesign
                 requirements in the maintenance process, staff training needs and logistics support to get the
                 tool fully operational whenever it is required by the maintainer.































                 The action plan derived from the integration strategy must be ambitious and shall consider all
                 the optimization possibilities offered by the new technology, but at the same time it should be
                 developed in continuous and small steps, without stopping.
                 It is common practice to develop Proofs of Concept in the early stages of that process to confirm
                 that the performance of the new devices is in line with expectations and the investment is
                 justified. They are usually small-scale tests intending to get closer to the current operating
                 conditions. But the outcome may not be conclusive or could be distorted if testing conditions
                 are not representative, or if the device is forced to integration into the existing process rather
                 than into a redesigned one.
                 3.    The management of the new process will determine the outcome


                 Although the integration plans are bult in small steps, the strategy should be conceived over the
                 final management vision of processes and tools required in the maintenance activity, including
                 in-between synergies and the need for integrating platforms and data processing tools.

                 An example of this vision is found over the use of asset monitoring systems and the development
                 of Predictive Maintenance algorithms.

                 Scheduled preventive maintenance task are being progressively relieved by Condition Based
                 Maintenance  (CBM),  insofar  as it has been  possible to access to new  reliable  diagnostic
                 information for railway equipment. Currently technology allows going a step further, applying
                 Predictive Maintenance techniques in order to model and to predict the behavior of the system
                 till failure, and even applying Proactive Maintenance to detect and act in advance in the causes
                 that generate degradation performance of the component or equipment.
                 In this way, it would be possible to dynamically plan maintenance tasks, to avoid unexpected
                 Service-Affecting Failures and to optimize maintenance intervals, maximizing the reliability
                 and availability of the fleet.



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