A real-time anomaly detection solution indicates a continuous stream of operational and
labelled data that must satisfy several resources and latency requirements. Traditional …

A nonlinear aircraft dynamics modeling and system identification approach is formulated
and used to derive a rapid, convex optimization-based algorithm for the estimation of …

In recent studies, it has been observed that loss of control in flight is the most frequent
primary cause of accidents. One of the technologies that will significantly reduce the risk of …

IN RECENT years, several technologies have been developed to improve postfailure flight
safety [1–3]. Most of the research toward this end includes high-performance real-time fault …

THE development of fault-tolerant flight control systems has emerged in recent years as a
key aspect to ensure increased safety and enhanced performance for both civilian and …

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 …

In this paper, two approaches are proposed and compared for the detection and
identification of aircraft subsystem failures based on the artificial immune system paradigm …

In this paper, a data‐based approach for the design of structured residual subsets for the
robust isolation of sensor faults is proposed. Linear regression models are employed to …

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 …

An integrated artificial immune system-based scheme that can operate over extended areas
of the flight envelope is proposed in this paper for the detection and identification of a variety …