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In EDF’s probabilistic safety assessment (PSA) studies, sequence of events diagrams represent all scenarios identified during qualitative analysis following an initiating event. These diagrams trace all possible paths involving successful or failed missions of backup systems or human actions. System missions identified in reliability studies are modeled using fault trees, generated with an MBSA expert system-based tool [3]. A key challenge for analysts is the complex modeling of systems from mechanical diagrams, often in difficult formats. [1] and [4] present a tool (CONFLUENT) capable of reading data from multiple sources (electrical, hydraulic, and control) while managing system boundaries through path definitions. It supports compression of control, hydraulic, and electrical systems helping reduce EPS model complexity, especially in the context of zoomable EPS [2]. Finally, the tool enables topological mapping of complex networks by displaying attributes like location, altitude, function, or support structures, which aids in redundancy analysis at the support level (e.g., panels). This article is a continuation of this work aimed at automating the generation of fault trees with low complexity by directly utilizing design data specification and PSA mission specifications of backup systems. Two main objectives were pursued: first, to minimize the complexity of the fault tree as much as possible, and second, to streamline communication between the system designer and the safety analysis engineer. An algorithm has been developed to partition the system into subsystems in order to minimize the complexity of the fault trees linked to mission’s specifications based on three criteria: the scope of the system, the operational configurations and the purpose of the circuit (for example: bringing water from point A to point B). The input data and visualizations at both the CONFLUENT and algorithm levels are strictly those provided by the system designer, which helps facilitate communication.

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Experience in Developing an Algorithm at the MBSA Level to Minimize the Complexity of Fault Trees During Automatic Generation from Design Data

  • 会议论文

  • 发表日期：

    2026年

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  • Romain Roy,
  • Youssef Lahlou,
  • Julien Blangis,
  • Ayoub Zeghari

摘要

In EDF’s probabilistic safety assessment (PSA) studies, sequence of events diagrams represent all scenarios identified during qualitative analysis following an initiating event. These diagrams trace all possible paths involving successful or failed missions of backup systems or human actions. System missions identified in reliability studies are modeled using fault trees, generated with an MBSA expert system-based tool [3]. A key challenge for analysts is the complex modeling of systems from mechanical diagrams, often in difficult formats. [1] and [4] present a tool (CONFLUENT) capable of reading data from multiple sources (electrical, hydraulic, and control) while managing system boundaries through path definitions. It supports compression of control, hydraulic, and electrical systems helping reduce EPS model complexity, especially in the context of zoomable EPS [2]. Finally, the tool enables topological mapping of complex networks by displaying attributes like location, altitude, function, or support structures, which aids in redundancy analysis at the support level (e.g., panels). This article is a continuation of this work aimed at automating the generation of fault trees with low complexity by directly utilizing design data specification and PSA mission specifications of backup systems. Two main objectives were pursued: first, to minimize the complexity of the fault tree as much as possible, and second, to streamline communication between the system designer and the safety analysis engineer. An algorithm has been developed to partition the system into subsystems in order to minimize the complexity of the fault trees linked to mission’s specifications based on three criteria: the scope of the system, the operational configurations and the purpose of the circuit (for example: bringing water from point A to point B). The input data and visualizations at both the CONFLUENT and algorithm levels are strictly those provided by the system designer, which helps facilitate communication.