In recent years, new diagnosis systems for railway infrastructure have been developed and launched to commercial market. Their major objective is to increase the availability of railway infrastructure and its external systems by means of preventive maintenance, anticipating malfunctions and failures. The acquisition and installation of such systems comprises the investment of large amounts of money. In order to predict the potential benefit, it would be meaningful to model the current infrastructure maintenance process and simulate the effects of the introduction of a diagnosis system. In this work a Petri net based modeling method for Monte Carlo simulation is presented, and validated by a case study of a French high speed line. It follows from the study that, within the framework of a diagnosis system, a profit of almost 20% of lost minutes due to element failures can be obtained on high speed lines. The proposed RCM approach successfully models the dependencies stated in section 1. Additionally, the use of extended Petri nets as modelling method enhances the possibility of performing Monte Carlo simulation, in order to assess the effects of alternative maintenance policies on infrastructure availability. This approach offers some advantages: A unique formalism allows a global representation that makes it possible to easily manage all types of dependencies that could exist concerning the occurrence of events during the lifetime of the system (an unambiguous description of the functioning of the system and the corresponding organizations, etc.). By taking into account the dependencies, it is easy to express operational restrictions, maintenance strategies, etc. The simulation results take correctly into account the dynamic interactions between the failure events (time is also considered as a special event); The possibility of taking into account the ageing of the components and the policy of regeneration of these components. Sensitivity analysis of the simulation results allows to optimize the system architecture as well as the maintenance strategies (load estimation, the stress of various actors and the sensitivity of the organization to various parameters, etc.). Moreover, this model permits to choose the best strategy in terms of maintenance engineering in order to guarantee over a long period the availability ratio aimed under the lowest costs.
Benefit of railway infrastructure diagnosis systems on its availability
Nutzen von Diagnosesystemen für die Eisenbahninfrastruktur für deren Verfügbarkeit
2009
5 Seiten, 8 Bilder, 2 Tabellen, 12 Quellen
Aufsatz (Konferenz)
Englisch
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