Despite the claim that artificial intelligence (AI) has the potential to increase efficiency in and
for airlines, current literature is limited concerning models and frameworks to assess AI …

This paper aims to discuss the importance and the necessity of reasoning applications in the
field of Aerospace Integrated Vehicle Health Management (IVHM). A fully functional IVHM …

Over the past decade, unmanned aerial vehicles (UAVs) have demonstrated increasing
attention and promise. They demonstrate great potential for application in both civilian and …

The abnormal detection of rotating machinery under small sample size conditions is of prime
importance in the field of fault diagnosis. In this work, we proposed an unsupervised …

In mechanical fault diagnosis, the improvement of diagnosis accuracy is the ultimate aim for
researchers. Discriminative features selected and extracted from vibration measurements …

Since the control laws require sensor feedback to set the current dynamic state of the
unmanned aerial vehicle (UAV), incorrect readings may lead to potentially catastrophic …

This paper presents the development of a general model of accident analysis according to
the principal factors which influence aeronautical accidents. This study aims to develop a …

Model-based diagnosis methods rely on a model that defines nominal behavior of a
dynamic system to detect abnormal behaviors and isolate faults. On the other hand, data …

More Electric Aircraft (MEA) has a great development prospect in the aviation industry
thanks to the progressive power electronics technology and digital systems. Nevertheless …

Pilot factor is worth considering when analyzing the causes of civil aviation accidents. This
study introduces a data-driven Bayesian network (BN) approach to investigating the joint …