An Integrated Framework for Identification, Classification, and Assessment of Aviation Systems Hazards

  • Ali Mosleh
  • A. Dias
  • G. Eghbali
  • K. Fazen


This paper presents an integrated framework to identify, classify, and assess hazards in complex systems such as the civil aviation system. The methodology employs a model-based systems approach to hazard analysis and integrates various related perspectives of system safety, hazard analysis, and risk analysis. As a causal model the methodology provides a vehicle for identification and communication of cause-effect relations including those associated with human, organization, and system hardware and software, and physical and regulatory environment of the system. The proposed methodology extends the conventional risk analysis techniques, e.g., Event Sequence Diagrams (ESD) Fault Trees (FT) by introducing a hybrid causal model (HCM) of FTs and Influence Diagrams (ID). ESDs are used to define context within which various causal factors could be viewed as hazard. The enumeration of the causes of ESD initiators and intermediate events is done through the hybrid logic (HCM) where the deterministic causes such as direct hardware, software, and human failure events are handled by FT logic gates while probabilistic causal relations such impact of organizational factor are treated with IDs or Bayesian Belief Networks (BBN).


Hazard Analysis Causal Chain Integrate Framework Fault Tree Bayesian Belief Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    ALLOCCO, M.P.E. ENRE 447(467) System Safety Engineering. Reliability Engineering Program. University of Maryland, College Park, MD. 2002.Google Scholar
  2. 2.
    Mosleh, A., Dias, A, “Towards an Integrated Framework for Aviation Hazard Analysis,” University of Maryland Report, Dec. 2003.Google Scholar

Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • Ali Mosleh
    • 1
  • A. Dias
    • 2
  • G. Eghbali
    • 3
  • K. Fazen
    • 4
  1. 1.University of MarylandCollege ParkUSA
  2. 2.Federal University of Santa Catarina, Universitario TrindadeFlorianópolisBrazil
  3. 3.Hi-Tec Systems, Inc.USA
  4. 4.Federal Aviation AdministrationUSA

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