Abstract

Reliability block diagram (RBD) models are a commonly used reliability analysis method. For static RBD models, combinatorial solution techniques are easy and efficient. However, static RBDs are limited in their ability to express varying system state, dependent events, and non-series-parallel topologies. A recent extension to RBDs, called Dynamic Reliability Block Diagrams (DRBD), has eliminated those limitations. This tool paper details the RBD implementation in the Mobius modeling framework and provides technical details for using RBDs independently or in composition with other Mobius modeling formalisms. The paper explains how the graphical front-end provides a user-friendly interface for specifying RBD models. The back-end implementation that interfaces with the Mobius AFI to dene and generate executable models that the Mobius tool uses to evaluate system metrics is also detailed.

Highlights

  • INTRODUCTIONMany methods exist to support such analysis, such as reliability block diagrams (RBD), fault trees, and reliability graphs [6][11]

  • Reliability analysis is an essential part of critical system design and planning

  • The RBDModel class contains all of the state variables and actions that are used in a Dynamic Reliability Block Diagram atomic model

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Summary

INTRODUCTION

Many methods exist to support such analysis, such as reliability block diagrams (RBD), fault trees, and reliability graphs [6][11]. These methods work well for limited cases. The primary contribution of this paper is a detailed discussion of a new implementation of the Dynamic Reliability Block Diagram formalism within the Mobius tool. Mobius uses a well-defined abstract functional interface (AFI) [3] to allow for the addition of new modeling formalisms that can leverage the existing experimental and solution methods.

FORMALISM DEFINITION
Reliability Block Diagrams
Dynamic Reliability Block Diagrams
IMPLEMENTATION IN MÖBIUS
RBD Atomic Model Editor
Möbius AFI Overview
RBD AFI Implementation
USING RBD MODELS IN MÖBIUS
Composing RBD Models
Specifying Metrics
Defining Studies
Solution Techniques
RELATED TOOLS
CONCLUSION

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