Structured non-self approach for aircraft failure identification within a fault tolerance architecture

Within an immunity-based architecture for aircraft fault detection, identification and evaluation, a structured, non-self approach has been designed and implemented to classify and quantify the type and severity of different aircraft actuators, sensors, structural components and engine failures. The methodology relies on a hierarchical multi-self strategy with heuristic selection of sub-selves and formulation of a mapping logic algorithm, in which specific detectors of specific selves are mapped against failures based on their capability to selectively capture the dynamic fingerprint of abnormal conditions in all their aspects. Immune negative and positive selection mechanisms have been used within the process. Data from a motion-based six-degrees-of-freedom flight simulator were used to evaluate the performance in terms of percentage identification rates for a set of 2D non-self projections under several upset conditions

Artificial Immune System for Comprehensive and Integrated Aircraft Abnormal Conditions Management

Failures, malfunctions, and damage affecting aircraft subsystems, as well as general environmental and dynamic upset conditions, have been consistently identified as the primary sources or aggravating circumstances of the majority of aviation accidents and incidents [1-3]. It is important to properly address safety under normal and abnormal operational conditions throughout the entire life cycle of aerospace systems, including design, production, maintenance, and operation [4], within an thoroughly conducted aircraft health management process [5-8]. Toward this objective, a new computational paradigm, mimicking the biological immune system, has been extended and implemented for aerospace applications in recent years. The formulation of an immunity-inspired framework for comprehensive and integrated system monitoring and control under normal and abnormal operation, specific methods and algorithms, and example implementations are presented in each chapter