...Ufuk Himmet; Emre Kiyak Purpose This study proposes a SCADA-integrated predictive maintenance framework for aircraft engine health monitoring by leveraging machine learning and deep learning models. The objective is to enhance early fault detection capability, reduce unexpected failures...

...Manigandan Sekar Purpose Accurate and timely fault detection was crucial for ensuring the safety and reliability of jet engines. Traditional model struggle to capture non-linear fault patterns high-dimensional sensor data produced by modern engines. Design/methodology/approach This paper...

... the highest possible fault detection rate and the lowest false alarm rate. Design/methodology/approach GA-AIS software was developed using MATLAB R2023b for flight control system aileron position detection, using real flight data from a Turkish Airlines B737 aircraft. To test the GA-AIS software...

... the outcomes, 98% prediction accuracy with 99.12% high fault detection and 98.43% thermal management efficiency was attained by the suggested GraphSLA. Thus, it is clear from the outcomes that this suggested method have the potential in ensuring RT effective propulsion system. Originality/value This work...

...Chingiz Hajiyev Purpose The purpose of the paper is to present an innovation-based new actuator/surface fault detection and isolation (FDI) method, which is sensitive to the changes in the innovation mean of the Kalman filter (KF) and the KF tuning method for the case of actuator/surface failure...

...Lijia Cao; Xu Yang; Guoqing Wang; Yang Liu; Yu Hu Purpose The purpose of this paper is to present an actuator fault detection method for unmanned aerial vehicles (UAVs) based on interval observer and extended state observer. Design/methodology/approach The proposed algorithm has very little...

... input observer for state estimation and fault detection as well as isolation using fuzzy logic. Findings The dedicated observer scheme (DOS) and generalized observer scheme (GOS) are used for fault detection and isolation in an observer-based approach. Using the DOS, it has been shown through...

... and altitude. Fault detection and reconstruction were carried out by using adaptive neural fuzzy inference system and artificial neural networks, which are machine learning methods. MATLAB software was used for all the calculations. Findings No false alarm was detected when the fault test following...

...Gulay Unal Purpose Fault detection, isolation and reconfiguration of the flight control system is an important problem to obtain healthy flight. This paper aims to propose an integrated approach for aircraft fault-tolerant control. Design/methodology/approach The integrated structure includes...