Automotive powertrain reliability modelling using an idea algebra

Andas Amrin, Christos Spitas, Georgios Vasileiou, Vasileios Spitas

Research output: Journal PublicationArticlepeer-review

1 Citation (Scopus)


This paper presents a reliability modelling framework for automotive powertrains using a specially developed algebra, where all powertrain components and design and performance parameters are represented as formal computational objects of an idea class. Unlike previous known frameworks for reliability modelling, such as FMEA, FTA or FBS, the present study constructs the reliability model of a given powertrain topology from the topology only and does not require manual input of constitutive/performance equations, or the definition of a hierarchy of failure events. This tool is particularly useful in early stages of the design process, where the reliability of several alternative topologies may need to be evaluated a priori but a full-scale FMEA, FTA or FBS analysis would be impractical.

Original languageEnglish
Pages (from-to)191-223
Number of pages33
JournalInternational Journal of Powertrains
Issue number3
Publication statusPublished - 2019
Externally publishedYes


  • Fault tree analysis
  • FBS
  • FMEA
  • FTA
  • Function-behaviour-state
  • Idea algebra
  • Reliability analysis
  • Risk assessment

ASJC Scopus subject areas

  • Automotive Engineering
  • Energy Engineering and Power Technology
  • Mechanical Engineering


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