Towards an extension of Fault Trees in the Predictive Maintenance Scenario
This work addresses the need for improved dependability modeling in industrial processes, but it appears incremental as it extends existing Fault Tree methods rather than introducing a new paradigm.
The paper tackles the challenge of adapting Fault Trees for Predictive Maintenance in modern industrial systems by proposing an extension called Predictive Fault Tree language, and it illustrates this with use cases for modeling and analysis in concrete industrial settings.
One of the most appreciated features of Fault Trees (FTs) is their simplicity, making them fit into industrial processes. As such processes evolve in time, considering new aspects of large modern systems, modelling techniques based on FTs have adapted to these needs. This paper proposes an extension of FTs to take into account the problem of Predictive Maintenance, one of the challenges of the modern dependability field of study. The paper sketches the Predictive Fault Tree language and proposes some use cases to support their modelling and analysis in concrete industrial settings.