This paper proposes a framework for aircraft fault diagnosis based on the offline analysis of
flight data. It overcomes the limitations of current data-driven approaches by combining …

Failures, malfunctions, and damage affecting aircraft subsystems, as well as general
environmental and dynamic upset conditions, have been consistently identified as the …

Purpose An artificial immune system (AIS) for the detection and identification of abnormal
operational conditions affecting an unmanned air vehicle (UAV) is developed using the …

This paper presents a novel bio-inspired adaptive control technique that has been designed
to maintain the performance of an aircraft under upset conditions. The proposed control …

This paper presents a human factors analysis in aviation within the context of failure
detection and identification (FDI) using statistical data analysis and clustering. We used data …

Purpose This paper aims to describe the design, development and flight-simulation testing
of an artificial immune-system-based approach for accommodation of different aircraft sub …

Within an immunity-based architecture for aircraft fault detection, identification and
evaluation, a structured, non-self approach has been designed and implemented to classify …

This project aims to use an artificial immune system to detect cyber-attacks on the dynamics
of a minidrone. Using linear transfer functions, a zero-dynamics attack was designed to be …

In this research, the artificial immune system (AIS) paradigm is used for the development of a
conceptual framework for autonomous flight when vehicle position and velocity are not …

Inherent stability inside the flight envelope must be guaranteed in order to safely introduce
private and commercial UAV systems into the national airspace. The rejection of unknown …