Sub-tanks in fuel tank systems of aircrafts transfer fuel to engines in certain order. These sub-tanks
and attached tank-accessories affect each other, and make fault diagnosis in such systems rather difficult. Without
real measured data, this paper analyzes fault modes and fault effects of the fuel tank system, including its tankaccessories,
of a given aircraft. Fault model of the system is built theoretically, and fault diagnosis criteria are
deduced. Such criteria are then quantified to train a back propagation neural network (BPNN) as fault diagnosis
model. To realize fault diagnosis of the real fuel tank system, a real-time fault diagnosis platform based on
LabView and VxWorks to perform this diagnosis method is discussed. This platform is a technical groundwork
for fault diagnosis in real fuel tank systems.
BAO Yong-lin (鲍泳林)
. Primary Research on Real-Time Fault Diagnosis Platform for Fuel Tank System of an Aircraft[J]. Journal of Shanghai Jiaotong University(Science), 2015
, 20(3)
: 358
-362
.
DOI: 10.1007/s12204-015-1637-4
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