Application of an AIS to the problem of through life health management of remotely piloted aircraft

Abstract

The operation of RPAS includes a cognitive problem for the operators to effectively maintain their situational awareness of the aircraft and predict its health state. This has a large impact on their ability to successfully identify faults and manage systems during operations. To overcome these system deficiencies an asset health management system that integrates more cognitive abilities to aid situational awareness could prove beneficial. This paper outlines an artificial immune system (AIS) approach that could meet these challenges and an experimental method within which to evaluate it.

A review of model based and data driven methods targeting hardware systems diagnostics

“…One of the most important services that IVHM can provide is a provision of Condition Based Maintenance (CBM) [4]. CBM targets in suggesting maintenance actions before the performance of an asset has deteriorated to a level that will lead to an unscheduled interruption of its operation [5]. This leads to improved and more robust maintenance plans and potential cost reduction strategies.…”