Reliability Analysis of an Automobile System Using Idea Algebra Method Equipped with Dynamic Bayesian Network

Andas Amrin, Vasilios Zarikas, Christos Spitas

Research output: Journal PublicationArticlepeer-review

4 Citations (Scopus)


In this work, a methodology that uses the dynamic Bayesian networks (DBNs) in combination with an idea algebra is developed for assessing the dynamic reliability of engineering systems. A network representation of the system topology is first introduced in the form of "idea"objects representing components and their functional interfaces, thus integrating the functional and material descriptions of the system. Various time-dependent functionalities can thus be mapped to segments or loops of the resulting network, which are then translated automatically into the form of a DBN, thereby avoiding the need to manually generate the dynamic fault tree (DFT) logic that would normally serve as a starting point. The methodology is demonstrated in a case study, where reliability analysis of an automobile system is performed. The idea algebra is automatically deployed in Mathematica and evaluated in the GeNIe platform. Weibull distribution was used for the generation of the dynamic values for the reliability analysis of the system within a certain period.

Original languageEnglish
Article number2150045
JournalInternational Journal of Reliability, Quality and Safety Engineering
Issue number2
Publication statusPublished - 1 Apr 2022
Externally publishedYes


  • Dynamic Bayesian networks
  • engineering design
  • idea algebra
  • reliability analysis

ASJC Scopus subject areas

  • Computer Science (all)
  • Nuclear Energy and Engineering
  • Safety, Risk, Reliability and Quality
  • Aerospace Engineering
  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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