Fault diagnosis of actuator damage in UAVs using embedded recorded data and stacked machine learning models

LA Al-Haddad, AA Jaber, SA Al-Haddad… - The Journal of …, 2024 - Springer
Unmanned aerial vehicles (UAVs) have gained significant importance due to their wide
applicability in modern life. Fault diagnosis plays a crucial role in ensuring their safe and …

Improved UAV blade unbalance prediction based on machine learning and ReliefF supreme feature ranking method

LA Al-Haddad, AA Jaber - Journal of the Brazilian Society of Mechanical …, 2023 - Springer
As unmanned aerial vehicles (UAVs) are witnessing a rapid increase in usage in regard to
many different applications, it has become paramount to classify blade faults and …

Influence of operationally consumed propellers on multirotor UAVs airworthiness: finite element and experimental approach

LA Al-Haddad, AA Jaber - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are widely used in many applications due to the current
technological trend. In these applications, understanding the concept of the operating …

Quadcopter Unmanned Aerial Vehicle Structural Design Using an Integrated Approach of Topology Optimization and Additive Manufacturing

LA Al-Haddad, AA Jaber, W Giernacki, ZH Khan, KM Ali… - Designs, 2024 - mdpi.com
The performance of quadcopter frames, particularly in terms of weight and crash resistance,
is significantly influenced by their structural design and manufacturing process. In this work …