Scientific results obtained in 2019
1.A new generation intelligent monitoring and control system based on the robust noise technology developed at the Institute of Control Systems has been created to increase the profitability of oil fields operated by sucker rod pumps. The system has been designed and manufactured in collaboration with Cybernetics SDB and implemented at 226 facilities of the country's oil and gas producing enterprises. Another 220 complexes will be introduced at the beginning of 2020
Implemented by: Acad. T.A. Aliev, Doctor of Engineering, Prof. O.G. Nusratov, Doctor of Engineering, Gambar A.Guluyev, Doctor of Engineering, Fakhrad H. Pashayev, Doctor of Engineering, Assoc. Prof. Asif G. Rzayev, Doctor of Engineering, N.E. Rzayeva, PhD in Engineering
Results published as:
1. T.Aliyev “Noise control of the Beginning and Development Dynamics of Accidents”, Springer, 2019, 201 p.
2. T.A.Aliev, A.H.Rzayev, G.A.Guluyev, T.A.Alizada, N.E.Rzayeva “Robust technology and system for management of sucker rod pumping units in oil wells”, Mechanical Systems and Signal Processing, 2018, voll. 99 (15), pp. 47-56 (WoS - 4,116);
3. T.A.Aliev, N.E.Rzayeva “Algorithms for determining spectral characteristics of interference of noisy signals”, Measurement Techniques, 2018, No 5, pp. 18-22 (WoS- 0,290);
4. T.A.Aliev, N.F.Musaeva, U.E.Sattarova, N.E.Rzayeva “Algorithms for forming correlation matrices equivalent to matrices of useful signals of multidimensional stochastic objects”, Applied and Computational mathematics, 2018, vol. 17, №2, pp 205-215 (Wos – 2.365).
2.Adequate models of queueing-inventory systems with perishable inventory have been proposed and effective numerical methods for their mathematical analysis have been developed.
Implemented by: Prof., Corr. Member of ANAS Agasi Z. Melikov, Doctor of Engineering, M.O. Shakhmaliyev.
Results published as:
1. Melikov A.Z., Shahmaliyev M.O. “Queuing system M/M/1/∞ with perishable inventory and repeated customers”, Automation and Remote Control, 2019, vol. 80, Issue 1, pp. 53-65. (WoS – 0,589).
2. Melikov A.Z., Krishnamoorthy A., Shajin D. “On partial and complete blocking set of states in queuing-inventory model”, Applied and Computational Mathematics, 2019, vol. 18, Issue 2, pp. 189-201 (WoS – 3,16)
3.With respect to systems of differential equations of hyperbolic type, the formulation of the inverse problem of determining the places and capacities of point sources has been studied. A numerical approach and algorithms for solving the problem have been proposed. Computer experiments have been conducted. Research results can be used, for example, to determine the locations and volumes of leakage of raw material in oil and gas pipelines of complex structure.
Implemented by: Corr. Member Kamil R. Ayda-zade, Doctor of Mathematics, Assoc.Prof. Yegana R. Ashrafova, PhD in Mathematics
Results published as:
1. Aida-zade K.R., Ashrafova Y.R. “Numerical solution to an inverse problem on a determination of places and capacities of sources in the hyperbolic systems”, Journal of industrial and management optimization, 2019, pp. 1-23. doi:10.3934/jimo.2019091 (WoS – 1,025).
2. Aida-zade K.R. Ashrafova Y.R. “Numerical solution of inverse problem on determination of leakage for unsteady flow in a pipeline network”, IFAC PapersOnline 51-30 (2018), pp. 21–26 (WoS bazasına daxil edilib).
4. A technology for the development and creation of neural networks based on metric recognition methods has been proposed. Computational experiments on specific examples have been conducted, confirming the effectiveness of the proposed technology.
Implemented by: Prof. O.G. Nusratov, Doctor of Engineering, P.Sh. Heydarov, PhD in Engineering
Results published as:
1. P.Sh. Geydarov “Neural networks with image recognition by pairs”, Optical memory and neural networks, 2018, vol.27, №2, pp.113-119. (WoS, SJR - 0,46).
2. P.Sh.Geydarov “The architecture of a neural network with a sequential division of images into paors”, Prikladnaya diskretnaya matematika, 2018, No.41, 2018, pp.98-109. (WoS, SJR - 0,265).
5.The principles of building intelligent systems for noise control of the beginning of the latent period and the dynamics of the development of the emergency state of facilities of different purpose have been proposed. The possibility of creating appropriate intelligent systems for deep-water offshore platforms, drilling rigs, compressor stations, rail transport, etc. has been demonstrated.
Implemented by: Acad. T.A. Aliev, Doctor of Engineering.
Results published as:
1. T.A.Aliyev “Noise control of the Beginning and Development Dynamics of Accidents”, Springer, 2019, 201 p.
2. T.A.Aliyev, T.Babayev, T.Alizada, N.Rzayeva. Control of the beginning of accidents in railroad operation safety systems in seismically active regions using the noise technology. Transport Problems, 2019, vol.14, Issue 3, pp.155-162.
3. T.A.Aliev, A.H.Rzayev, G.A.Guluyev, T.A.Alizada, N.E.Rzayeva “Robust technology and system for management of sucker rod pumping units in oil wells”, Mechanical Systems and Signal Processing, 2018, voll. 99 (15), pp. 47-56 (WoS - 4,116);
