This paper builds on the ability to produce a comprehensive automated set of component fault– observation relations for vehicle on-board systems using qualitative model based reasoning techniques. Observations are typically expensive (in the broadest sense) and the problem addressed by this paper is how to allow selection of a set of observations that fulfils the detectability/ diagnosability requirements of the system. This paper documents a tool that provides an engineer with easy access to information about diagnostic capability via a matrix visualisation technique. The focus of the work was for the fuel system of an Uninhabited Aerial Vehicle (UAV) although the tool has also been used on automotive electrical systems, and is applicable to a wide range of schematic and component based systems.
|Number of pages||8|
|Publication status||Published - 12 Dec 2011|