Establishing a framework for dynamic risk management in 'intelligent' aero-engine control


The behaviour of control functions in safety critical software systems is typically bounded to prevent the occurrence of known system level hazards. These bounds are typically derived through safety analyses and can be implemented through the use of necessary design features. However, the unpredictability of real world problems can result in changes in the operating context that may invalidate the behavioural bounds themselves, for example, unexpected hazardous operating contexts as a result of failures or degradation. For highly complex problems it may be infeasible to determine the precise desired behavioural bounds of a function that addresses or minimises risk for hazardous operation cases prior to deployment. This paper presents an overview of the safety challenges associated with such a problem and how such problems might be addressed. A self-management framework is proposed that performs on-line risk management. The features of the framework are shown in context of employing intelligent adaptive controllers operating within complex and highly dynamic problem domains such as Gas-Turbine Aero Engine control. Safety assurance arguments enabled by the framework necessary for certification are also outlined.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Computer Science
Additional Information: The original publication is available at
Uncontrolled Keywords: software systems,system level hazards,Computer Science(all),Theoretical Computer Science
ISBN: 9783642044670
Full Text Link: http://www.spri ... m722j50mr45333/
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Chapter
Published Date: 2009-09-03
Authors: Kurd, Zeshan
Kelly, Tim
McDermid, John A.
Calinescu, Radu C.
Kwiatkowska, Marta Z.

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