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The lowest level of fault detection is considered so that the methods are simply required to signal deviations from normal condition; i.e., the problem is one of novelty detection.
The flight control system is a safety-critical component of an UAV and hence should include a level of fault detection (FD) and controller reconfiguration to be used in case a faulty condition is declared.
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Average Percentage of Fault Detection - APFD.
Kurtosis is a useful indicator of fault detection.
Residual error evaluation is an important step of fault detection.
Performance of the scheme will be analyzed in terms of fault detection time and fault detection accuracy.
A sufficient condition for the design of fault detection is derived, which makes the resulting residual system to be stochastically stable with a prescribed H∞ performance level.
We propose to design a set of fault detection filters, or residual generation systems, corresponding to each of the fault components, to guarantee that each subsystem is mean square stable and satisfies a prescribed disturbance attenuation level.
In the case of fault detection, extra instruction redundant execution is utilized to assure fault existence.
Second, for the purpose of fault detection efficient signal processing algorithms are presented, which enable detection and isolation of faults with mechanical origin and faults with aerodynamic origin.
This choice of levels is related to the actual distribution of real failures detected when testing the applications – these distribution allow us to examine different settings from few failures from a single fault to more than one fault and more failures; Dependent variable Average Percentage of Fault Detection - APFD.
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