Aircraft Gearbox Fault Diagnosis System: An Approach based on Deep Learning Techniques
Author:
Affiliation:
1. JSS Academy of Technical Education , Bengaluru - , Karnataka , India
2. Freelance Academician , Mysore - , Karnataka , India
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Artificial Intelligence,Information Systems,Software
Link
https://www.degruyter.com/document/doi/10.1515/jisys-2019-0237/pdf
Reference20 articles.
1. Gharavian, M.H., Ganj, F.A., Ohadi, A.R. and Bafroui, H.H., 2013. Comparison of FDA-based and PCA-based features in fault diagnosis of automobile gearboxes. Neurocomputing, 121, pp.150-159.
2. Praveenkumar, T., Saimurugan, M., Krishnakumar, P. and Ramachandran, K.I., 2014. Fault diagnosis of automobile gearbox based on machine learning techniques. Procedia Engineering, 97, pp. 2092-2098.
3. Moster, P.C., 2004. Gear fault detection and classification using learning machines. Sound and vibration, 38(3), pp.22-26.
4. Tiwari, R., Bordoloi, D. J., Bansal, S. and Sahu, S., 2017. Multi-class Fault Diagnosis in Gears Using Machine Learning Algorithms Based on Time Domain Data. International Journal of COMADEM, 20(1).
5. Burges, C. J. C., 1998. A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery, 2, pp. 121-167
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