ARTS_DAstapenko_1.pdf (183.5 kB)
System failure minimisation using automated design optimisation
conference contribution
posted on 2012-01-23, 13:51 authored by D. Astapenko, Lisa JacksonLisa JacksonSafety systems are designed to prevent the occurrence and future
development of hazardous situations. Consequences of the failure of a
safety system varies from minor inconvenience and cost to personal
injury, significant economic loss and death. The operation of a safety
system can be improved by either introducing better performing
components or by increasing the number of redundant components. At the
same time, such design alterations can influence how available resources
are utilized. The focus of this paper is to introduce a generic optimisation
method for constructing an optimal design case for any safety system,
with the aim of maximising its likelihood of functioning on demand and at
the same time ensuring optimal usage of available resources. The
analysed optimisation problem is represented as the constrained single
objective problem. The implemented optimisation method employs Fault
Tree Analysis (FTA) to represent system failure causes and Binary
Decision Diagrams (BDDs) to quantify its failure probability. A Single
Objective Genetic Algorithm (SOGA) has been chosen as the optimisation
technique. The methodology is illustrated with the optimisation of a High
Integrity Protection System (HIPS) design. The constraints imposed are
on system dormant failure probability, cost and maintenance down time.
Results of the application, with the generic implications of the analysis, are
discussed.
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Citation
ASTAPENKO, D. and BARTLETT, L., 2009. System failure minimisation using automated design optimisation. IN: Proceedings of the Advances in Risk and Reliability Technology Symposium (AR2TS), Loughborough, 21-23 April, pp. 347 - 359Publisher
Loughborough University Department of Aeronautical & Automotive Engineering & Transport StudiesVersion
- AM (Accepted Manuscript)
Publication date
2009Notes
This is a conference paper.ISBN
9780904947632Language
- en