Abstract
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).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
ALLOCCO, M.P.E. ENRE 447(467) System Safety Engineering. Reliability Engineering Program. University of Maryland, College Park, MD. 2002.
Mosleh, A., Dias, A, “Towards an Integrated Framework for Aviation Hazard Analysis,” University of Maryland Report, Dec. 2003.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag London
About this paper
Cite this paper
Mosleh, A., Dias, A., Eghbali, G., Fazen, K. (2004). An Integrated Framework for Identification, Classification, and Assessment of Aviation Systems Hazards. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_383
Download citation
DOI: https://doi.org/10.1007/978-0-85729-410-4_383
Publisher Name: Springer, London
Print ISBN: 978-1-4471-1057-6
Online ISBN: 978-0-85729-410-4
eBook Packages: Springer Book Archive