CONCEPT OF DEVELOPING AN INTELLIGENT SYSTEM FOR CONTROL AND OPERATIONAL DIAGNOSTICS OF TECHNOLOGICAL EQUIPMENT CONDITION

Batyrbek Suleimenov

batr_sul@mail.ru
K.I. Satpayev Kazakh National Technical University, Institute of Information and Communication Technologies (Kazakhstan)

Laura Sugurova


K.I. Satpayev Kazakh National Technical University, Institute of Information and Communication Technologies (Kazakhstan)

Nurbol Turynbetov


K.I. Satpayev Kazakh National Technical University, Institute of Information and Communication Technologies (Kazakhstan)

Alibek Suleimenov


K.I. Satpayev Kazakh National Technical University, Institute of Information and Communication Technologies (Kazakhstan)

Abstract

The authors propose a concept for developing a system of automated monitoring and on-line diagnostics of main technological equipment conditions. Monitoring and diagnostics system should work along with the automated control system. In this case, the effects of the optimal control and operational forecasting of the process equipment will complement each other and enhance the overall efficiency of the system. The proposed technique for developing diagnostic algorithms with the use of intelligent technologies will speed up their development and improve the accuracy of forecasting.


Keywords:

diagnostics, automated control system, intelligent system, algorithm, technological object

Andreichenko A.V.: Intelligent information system. Moscow: Finance and Statistics, 2006.
  Google Scholar

Ionov M.V., Krasnyanskiy M.N.: Automated systems for technical diagnostics of chemical process equipment, Problems of modern science and practice, No. 2 (40), 2012, Tambov University named after V.I. Vernadsky, pp. 66-73.
  Google Scholar

Kalman R.T.: Topicsin Mathematical System Theory. Mc Graw-Hill, New York, 1969.
  Google Scholar

Parkhomenko P.P.: Fundamentals of technical diagnostics of. Book I. Models of objects, methods and algorithms of diagnostics, Moscow: Energiya, 1976.
  Google Scholar

Suleimenov B.A, Hammettov D.Zh.: Development of MES-technology for the Department of agglomeration of NDPP, Engineering and technical journal Bulletin of automation, No. 33, 2011, pp. 10-13.
  Google Scholar

Suleimenov B.A., Mutanov G. M., Suleimenov A. B.: Intelligent control systems: theory, methods, tools, Almaty: Kazak universiteti, 2012.
  Google Scholar

Suleimenov B.A., Mutanov G.M.: Process Control in non-ferrous metallurgy. Almaty: Gylym, 1997.
  Google Scholar

Suleimenov B. A.: Intelligent and hybrid process control system, Almaty: Shikula, 2009.
  Google Scholar

Suleimenov B., Muhanov B.: Development of an optimal control system for smelting process in the molten-pool, Elektrotechnichniczny. No/vol:11b/2012, рp 124-130.
  Google Scholar

Tikhonov A.N.: Fundamentals of the theory of reliability and diagnostics. Barnaul Altai State Technical University, 2008.
  Google Scholar

Titov A.R., Korkushev D.N., Shirokov A.V.: Development and implementation of an intelligent system diagnostics of large power transformers, Kazan: branch of Grid Company JSC.
  Google Scholar

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Published
2014-03-12

Cited by

Suleimenov, B., Sugurova, L., Turynbetov, N., & Suleimenov, A. (2014). CONCEPT OF DEVELOPING AN INTELLIGENT SYSTEM FOR CONTROL AND OPERATIONAL DIAGNOSTICS OF TECHNOLOGICAL EQUIPMENT CONDITION . Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 4(1), 27–32. https://doi.org/10.5604/20830157.1093194

Authors

Batyrbek Suleimenov 
batr_sul@mail.ru
K.I. Satpayev Kazakh National Technical University, Institute of Information and Communication Technologies Kazakhstan

Authors

Laura Sugurova 

K.I. Satpayev Kazakh National Technical University, Institute of Information and Communication Technologies Kazakhstan

Authors

Nurbol Turynbetov 

K.I. Satpayev Kazakh National Technical University, Institute of Information and Communication Technologies Kazakhstan

Authors

Alibek Suleimenov 

K.I. Satpayev Kazakh National Technical University, Institute of Information and Communication Technologies Kazakhstan

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