Abstract Remaining Useful Life (RUL) prediction plays a critical role in the prognostics and
health management (PHM) for aero-engines. A variety of Deep Learning (DL) approaches …

Traditional aircraft maintenance support work is mainly based on structured data.
Unstructured data, such as text data, have not been fully used, which means there is a waste …

Abstract Design testing and analysis is a major bottleneck in the design process of wind
turbine applications, mainly due to the computational cost of analysis tools like …

Abstract Electro-Mechanical Actuators (EMAs) deployment as aircraft flight control actuators
is an imperative step towards more electric concepts, which propose an increased …

Abstract System identification in vibrating structures is useful for structural health monitoring.
Onsite structural system identification must be achieved with low energy consumption …

The deployment of electro-mechanical actuators plays an important role towards the
adoption of the more electric aircraft (MEA) philosophy. On the other hand, a seamless …

Model-based fault detection and isolation (FDI) methods allow to infer the health status of
complex aerospace systems through a large quantity of data acquired in flight and …

Next-generation aircraft require the development and integration of a deal of innovative
green technologies to meet the ambitious sustainability goals set for aviation. Those …

The real-time prelaunch condition monitoring of the flight control systems for rocket requires
a fast response speed, which results in missing signals of partial sampling points if it is …

The growing adoption of electrical energy as a secondary form of onboard power leads to an
increase of electromechanical actuators (EMAs) use in aerospace applications. Therefore …