HURDLE, E.E., BARTLETT, L.M. and ANDREWS, J.D., 2007. Fault tree based fault diagnostics methodology for an aircraft fuel system. IN: Proceedings of the 32nd ESREDA Seminar: Maintenance Modelling and Applications, 8-9th May, Hotel dei Pini, Località Le Bombarde – Alghero (SS)
improved by reducing the time taken to restore systems to the working state when
faults occur. The fault identification process can be a significant proportion of the
time taken in the repair process. Having diagnosed the problem the restoration of the
system back to its fully functioning condition can then take place.
This paper describes the development of a fault diagnostic methodology for an
aircraft fuel system. The approach takes into account the dynamics of the system.
Using sensors installed to provide information about the current status of certain
critical parameters. The information produced for these parameters are then
categorised into different trend types using a simple pattern recognition technique.
Non-coherent fault trees are then used to identify all possible causes of the observed
sensor reading trends. By combining the information provided from all sensors the
causal faults can be detected. The approach presented has been developed and tested
for small demonstration systems – this paper describes how it has been scaled up for
a larger, more representative system and the issues that have been overcome in doing
this. The system used exists as an experimental facility where the procedure
developed can now be fully tested.
This is a pre-publication version of a conference paper to be published in the Proceedings of the 32nd ESREDA Seminar: Maintenance Modelling and