Author:
Kalyaev Anatoly,Korovin Iakov,Khisamutdinov Maxim,Kalyaev Igor
Abstract
The main objective of the work is the development of methods, algorithms and software to identify real-time features of the time-frequency characteristics of electromagnetic radiation in the digital data radio receiver different wavelength ranges.
Publisher
Trans Tech Publications, Ltd.
Reference11 articles.
1. Kalyaev A.I., Korovin Y.S., Hisamutdinov M.V. The Application of Evolutionary Algorithms in the Artificial Neural Network Training Process for the Oilfield Equipment Malfunctions' Forecasting / 2013 2nd International Symposium on Computer, Communication, Control and Automation (3CA 2013) Proceedings. – Atlantis press. Pages 253-257 (URL: http: /dx. doi. org/10. 2991/3ca13. 2013. 63).
2. Korovin, I.S., Khisamutdinov, M.V. Neuronetwork decision support system for oilfield equipment condition online monitoring (2014) Advanced Materials Research, 902, pp.409-415.
3. Korovin, I.S., Khisamutdinov, M.V. Hybrid method of dynamograms wavelet analysis for oilproduction equipment state identification (2014) Advanced Materials Research, 909, pp.252-259.
4. Korovin, I.S., Shmoylov, V.I., Khisamutdinov, M.V. Oilfield equipment state classification using the methods of linear algebra (2014) Neftyanoe Khozyaistvo Oil Industry, (9), pp.37-41.
5. Korovin, Ya.S., Khisamutdinov, M.V., Tkachenko, M.G. Forecasting of oilfield equipment work conditions with the application of evolutionary algorithms and artificial neural networks (2013) Neftyanoe Khozyaistvo Oil Industry, (12), pp.128-132.