hrcak mascot   Srce   HID

Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2019.1578553

Helicopter gearbox vibration fault classification using order tracking method and genetic algorithm

Ahmed Youssef Ouadine ; Mathematics and Systems Department, Ecole Royale de l’Air, Marrakech, Morocco
Mostafa Mjahed ; Mathematics and Systems Department, Ecole Royale de l’Air, Marrakech, Morocco
Hassan Ayad ; LSET, Department of Applied Physics, Faculty of Science and Technology Gueliz, Marrakech, Morocco
Abdeljalil El Kari ; LSET, Department of Applied Physics, Faculty of Science and Technology Gueliz, Marrakech, Morocco

Puni tekst: engleski, pdf (2 MB) str. 68-78 preuzimanja: 122* citiraj
APA 6th Edition
Ouadine, A.Y., Mjahed, M., Ayad, H. i El Kari, A. (2019). Helicopter gearbox vibration fault classification using order tracking method and genetic algorithm. Automatika, 60 (1), 68-78. https://doi.org/10.1080/00051144.2019.1578553
MLA 8th Edition
Ouadine, Ahmed Youssef, et al. "Helicopter gearbox vibration fault classification using order tracking method and genetic algorithm." Automatika, vol. 60, br. 1, 2019, str. 68-78. https://doi.org/10.1080/00051144.2019.1578553. Citirano 28.10.2021.
Chicago 17th Edition
Ouadine, Ahmed Youssef, Mostafa Mjahed, Hassan Ayad i Abdeljalil El Kari. "Helicopter gearbox vibration fault classification using order tracking method and genetic algorithm." Automatika 60, br. 1 (2019): 68-78. https://doi.org/10.1080/00051144.2019.1578553
Harvard
Ouadine, A.Y., et al. (2019). 'Helicopter gearbox vibration fault classification using order tracking method and genetic algorithm', Automatika, 60(1), str. 68-78. https://doi.org/10.1080/00051144.2019.1578553
Vancouver
Ouadine AY, Mjahed M, Ayad H, El Kari A. Helicopter gearbox vibration fault classification using order tracking method and genetic algorithm. Automatika [Internet]. 2019 [pristupljeno 28.10.2021.];60(1):68-78. https://doi.org/10.1080/00051144.2019.1578553
IEEE
A.Y. Ouadine, M. Mjahed, H. Ayad i A. El Kari, "Helicopter gearbox vibration fault classification using order tracking method and genetic algorithm", Automatika, vol.60, br. 1, str. 68-78, 2019. [Online]. https://doi.org/10.1080/00051144.2019.1578553

Sažetak
In this paper, we implemented a diagnostic system for vibration faults that occur on the PUMA helicopter gearbox. We used an approach based on the joint use of the Order Tracking signal analysis and the Genetic Algorithm. To achieve this goal, we first collected a database of vibration signals measured during periodic inspections. The available vibration signals are acquired under a time-varying operating conditions. Therefore, we used the Order Tracking method, which is more accurate in extracting faults features. This technique was performed by resampling the vibration data and then applying the Short Time Fourier Transform. To enable efficient and continuous monitoring of gearbox vibration faults from features, we used Genetic Algorithm to build a rules-based diagnostic model. Genetic operators have been adapted to the specificity of the problem to optimize the parameters of this model. This approach is successfully applied to the diagnosis of vibration defects of helicopter gearboxes. The results have been validated effectively with test data. The diagnostic model can therefore be implemented on helicopter computers to detect faults in flight or on the ground. This approach has been used for the first time in the field of helicopter gearbox vibration fault diagnosis.

Ključne riječi
Diagnosis; signal processing; order tracking; machine learning; genetic algorithm; vibration; helicopter gearbox

Hrčak ID: 239763

URI
https://hrcak.srce.hr/239763

Posjeta: 238 *