Fault diagnosis plays a significant role in conducting condition-based maintenance and
health management for gas turbines (GTs) to improve reliability and reduce costs. Various …

Condition monitoring, diagnostics, and prognostics are key factors in today's competitive
industrial sector. Equipment digitalisation has increased the amount of available data …

Aero engine fault diagnosis is very important to ensure flight safety. However, the lack of
fault data limits aero engine fault diagnosis. Fortunately, transfer learning can transfer data …

In the process of gas turbine rotor fault diagnosis based on data-driven, transfer learning is
an effective method to solve the lack of gas turbines labeled data, which will result in domain …

This paper presents a methodology developed at the Laboratory of Applied Research in
Active Controls, Avionics, and Aeroservoelasticity to identify a performance model of the …

In fault diagnosis, machine learning theories are gaining popularity as they proved to be an
efficient tool that not only reduces human effort but also identifies the health conditions of the …

View Video Presentation: https://doi. org/10.2514/6.2021-3247. vid This paper presents a
methodology developed at the Laboratory of Applied Research in Active Controls, Avionics …

As a fatal lung disease, pulmonary fibrosis can cause irreversible damage to the lung, affect
normal lung function, and eventually lead to death. At present, the pathogenesis of this kind …

The fault detection of turboshaft engines is very important to ensure the flight safety of
helicopters. Because there are few fault data in engine historical operation data, engine fault …

Aero-engine fault prediction aims to accurately predict the development trend of the future
state of aero-engines, so as to diagnose faults in advance. Traditional aero-engine …