AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, cilt.93, sa.6, ss.1104-1114, 2021 (SCI-Expanded)
Purpose-The
aim of this study is to detect and reconstruct a fault in pitot probe and
static ports, which are components of the air data system in commercial aircrafts,
without false alarm and no need for pitot-static measurements. In this way,
flight crew will be prevented from flying according to incorrect data and
aircraft accidents that may occur will be prevented.
Design/methodology/approach-
Real flight data collected from a local airline was used to design the relevant
system. Correlation analysis was performed to select the data
related to the airspeed and altitude. Fault detection and reconstruction were carried out by using ANFIS and ANN, which are
machine learning methods. MATLAB software was used for all the
calculations.
Findings-No false alarm was detected when the fault test
following the fault modeling was carried out at 0-2 s range by filtering the
residual signal. When the fault was detected, fault reconstruction process was initiated so that system output could be
achieved according to estimated sensor data.
Practical
implications-The presented alternative analytical redundant
airspeed and altitude calculation scheme could be used when the pitot-static
system contains any fault condition.
Originality/value-Instead of using the methods based on hardware
redundancy, we designed a new system within the scope of this study. Fault
situations that may occur in pitot probes and static ports are modeled and
different fault scenarios that can be encountered in all flight phases have
been examined.