During the past few decades, several significant progresses have been made in exploring
complex nonlinear dynamics and vibration suppression of conceptual aeroelastic airfoil …

Various types of sensors are needed to monitor the health state of smart deep-space
habitats. However, measured data can be affected by sensor faults, which influence the …

The ability to accurately identify and isolate failures in the electrical power system (EPS) is
critical to ensure the reliability of spacecraft. This paper proposes a novel solution to the …

Compared with the forced oscillation test in a conventional wind tunnel test, the wind tunnel
virtual flight test can achieve partially constrained dynamic motion of the model in the wind …

Anomaly detection based on data-driven methods is an applicable way to deal with the
complex structure of aircraft engine. In this article, certain existing data-driven methods are …

Increasing attention has been attracted to the dynamic performance and safety of advanced
performance predictive control systems of the next-generation aeroengine. The latest …

Fault diagnosis of multi-source signal systems is critical for the safe and reliable operation of
modern industrial systems, and accurate fault diagnosis of systems based on multi-source …

View Video Presentation: https://doi. org/10.2514/6.2023-4326. vid The number of flights
keeps increasing with the development of civil aviation, and flight delays have become a …

In order to accurately detect the faults of electrical automation equipment, this paper
proposes a data-based neural network to diagnose the faults of electrical automation …

In order to improve the availability of fault data, the fault data of heat meters had been
classified, and balances all kinds of fault data according to interpolation algorithms to meet …