Due to the heavy usage of Unmanned Aerial Vehicles (UAVs) and the co-evolution of
modern technologies, a crucial introduction to fault diagnosis has taken place in recent …

We present a method for detecting faults in a multicopter's motor/propeller by analysis of the
vibration spectrum as measured by an onboard accelerometer. Physical damage to a …

In recent years, structural health monitoring (SHM) applications have significantly been
enhanced, driven by advancements in artificial intelligence (AI) and machine learning (ML) …

Due to its efficiency to handle uncertain information, Dempster–Shafer evidence theory has
become the most important tool in many information fusion systems. However, how to …

Statistical machine learning classification methods have been widely used in the fault
detection analysis in several engineering domains. This motivates us to provide in this …

More electrical aircraft requires power modules of higher performances, especially in terms
of reliability with a control of lifetime. The replacement of hydraulic and pneumatic systems …

This paper focuses on classification methods for evaluating the lifetime consumption (LC) of
power electronics modules. The generalization of power electronics devices introduces new …

Unmanned aerial vehicles (UAV) are widely used in various areas, but most of them lack
structural health monitoring (SHM) system to evaluate the structural performance and detect …