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[1] Mikhailov, V.E., Khomenok, L.А., Sudakov, A.V. & Obukhov, S.G., On complex di-agnostics and examination of the state of equipment of thermal power plants and hydro-power plants. Reliability and Safety of Energy, 2(9), pp. 9–14, 2010.
[2] Andryushin, A.V., Polushkina, E.N. & Shnyrov, E.Yu., Development of the mainte-nance service system in TGK and OGK after the completion of industry restructuring processes. Thermal Engineering, 1, pp. 69–73, 2010.
[3] Aronson, K.E., Brodov, Yu.M. & Novoselov, V.B., Development of a technical condi-tion monitoring system for a cogenerating steam turbine equipment. Thermal Engineer-ing, 12, pp. 65–68, 2012.
[4] GOST 20911-89. Technical Diagnostics: Basic Terms and Definitions, Publishing House of Standards: M., 14 p., 1990.
[5] Uryev, E.V., Fundamentals of Reliability and Technical Diagnostics of Turbomachines, USTU: Ekaterinburg, 71 p., 1996.
[6] Hayet, S.I., Aronson, K.E., Brodov, Yu.M. & Shempelev, A.G., Development and test-ing of system elements for status monitoring and diagnostics of a steam turbine con-denser. Thermal Engineering, 7, pp. 67–69, 2003.
[7] Kovalev, N.A., Algorithms development for the operation and recognition of defects for automatic system of vibration diagnostics. CKTI Proceedings, 19, pp. 27–33.
[8] Mirzabekov, A.M., Haimov, V.A. & Khrabrov, V.P., Optical diagnostic system for erosion damage of the input edges of steam turbine blades. Thermal Engineering, 4, pp. 52–56, 1991.
[9] Panov, E.V. (ed.), Artificial Intellect: Directory, Radio & Communication: М., 1, 461 pp., 1990.
[10] Bashlykov, А.А., Expert system architecture to back up decision-making processes in fault diagnosing of thermal power station heat exchanging equipment (SPRINT). Col-lected volume: An Expansion of Intellectual Abilities of ACS, ed. А.А. Bashlykov, Ener-goatomizdat: М., pp. 5–8, 1989.
[11] Naylor, C., Build your own Expert System, Energoatomizdat: М., 286 pp., 1991.
[12] Brooking, А., Johns, P., Forsyth, R. & Cox, F., In: Expert Systems: Principles and Case Studies, ed. R. Forsyth. Radio & Communication: М., 191 pp., 1987.
[13] Jackson, P., An Introduction to Expert Systems, Williams Publishers: М., 624 pp., 2001.
[14] Perminov, I.A., Orlick, V.G. & Gordinsky, A.A., Flow path state diagnostics for steam turbines of high capacity with the use of power plant computational complexes. CKTI Transactions, 273, pp. 58–61, 1992.
[15] Brodov, Yu.M., Aronson, K.E. & Nierenstein, M.A., The concept of diagnostics system for condensing steam turbine unit. Thermal Engineering, 7, pp. 34–38, 1997.
[16] Khaet, S.I., Aronson, K.E., Brodov, Yu, M. & Shempelev, A.G., Development and test-ing of the monitoring system elements for condition control and diagnostic of steam turbine condenser. Thermal Engineering, 7, pp. 67–69, 2003.
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Open Access
Research article

An Expert System for Diagnostics and Estimation of Steam Turbine Components’ Condition

Konstantin E. Aronson,
Boris E. Murmansky,
Ilia B. Murmanskii,
Yuri M. Brodov
Ural Federal University named after the First President of Russia B.N. Yeltsin, Ekaterinburg, Russia
International Journal of Energy Production and Management
|
Volume 5, Issue 1, 2020
|
Pages 70-81
Received: N/A,
Revised: N/A,
Accepted: N/A,
Available online: 03-03-2020
View Full Article|Download PDF

Abstract:

This article describes an expert system of probability type for diagnostics and state estimation of steam turbine technological subsystems’ components. The expert system is based on Bayes’ theorem and permits one to troubleshoot the equipment components, using expert experience, when there is a lack of baseline information on the indicators of turbine operation. Within a unified approach, the expert system solves the problems of diagnosing the flow steam path of the turbine, bearings, thermal expan- sion system, regulatory system, condensing unit, and the systems of regenerative feed-water and hot water heating. The knowledge base of the expert system for turbine unit rotors and bearings contains a description of 34 defects and 104 related diagnostic features that cause a change in its vibration state. The knowledge base for the condensing unit contains 12 hypotheses and 15 pieces of evidence (indications); the procedures are also designated for 20 state parameters’ estimation. Similar knowledge bases containing the diagnostic features and fault hypotheses are formulated for other technological subsystems of a turbine unit. With the necessary initial information available, a number of problems can be solved within the expert system for various technological subsystems of steam turbine unit: for steam flow path, it is the correlation and regression analysis of multifactor relationship between the vibration and the regime parameters; for thermal expansion system, it is the evaluation of force acting on the longitudinal keys depending on the temperature state of the turbine cylinder; for condensing unit, it is the evaluation of separate effect of the heat exchange surface contamination and of the presence of air in condenser steam space on condenser thermal efficiency performance, as well as the evaluation of term for condenser cleaning and for tube system replacement. With the lack of initial information, the expert system formulates a diagnosis and calculates the probability of faults’ origin.

Keywords: Diagnostic, Diagnostic Features, Expert System, Evidence, Faults, Hypotheses, Steam Turbine
References
[1] Mikhailov, V.E., Khomenok, L.А., Sudakov, A.V. & Obukhov, S.G., On complex di-agnostics and examination of the state of equipment of thermal power plants and hydro-power plants. Reliability and Safety of Energy, 2(9), pp. 9–14, 2010.
[2] Andryushin, A.V., Polushkina, E.N. & Shnyrov, E.Yu., Development of the mainte-nance service system in TGK and OGK after the completion of industry restructuring processes. Thermal Engineering, 1, pp. 69–73, 2010.
[3] Aronson, K.E., Brodov, Yu.M. & Novoselov, V.B., Development of a technical condi-tion monitoring system for a cogenerating steam turbine equipment. Thermal Engineer-ing, 12, pp. 65–68, 2012.
[4] GOST 20911-89. Technical Diagnostics: Basic Terms and Definitions, Publishing House of Standards: M., 14 p., 1990.
[5] Uryev, E.V., Fundamentals of Reliability and Technical Diagnostics of Turbomachines, USTU: Ekaterinburg, 71 p., 1996.
[6] Hayet, S.I., Aronson, K.E., Brodov, Yu.M. & Shempelev, A.G., Development and test-ing of system elements for status monitoring and diagnostics of a steam turbine con-denser. Thermal Engineering, 7, pp. 67–69, 2003.
[7] Kovalev, N.A., Algorithms development for the operation and recognition of defects for automatic system of vibration diagnostics. CKTI Proceedings, 19, pp. 27–33.
[8] Mirzabekov, A.M., Haimov, V.A. & Khrabrov, V.P., Optical diagnostic system for erosion damage of the input edges of steam turbine blades. Thermal Engineering, 4, pp. 52–56, 1991.
[9] Panov, E.V. (ed.), Artificial Intellect: Directory, Radio & Communication: М., 1, 461 pp., 1990.
[10] Bashlykov, А.А., Expert system architecture to back up decision-making processes in fault diagnosing of thermal power station heat exchanging equipment (SPRINT). Col-lected volume: An Expansion of Intellectual Abilities of ACS, ed. А.А. Bashlykov, Ener-goatomizdat: М., pp. 5–8, 1989.
[11] Naylor, C., Build your own Expert System, Energoatomizdat: М., 286 pp., 1991.
[12] Brooking, А., Johns, P., Forsyth, R. & Cox, F., In: Expert Systems: Principles and Case Studies, ed. R. Forsyth. Radio & Communication: М., 191 pp., 1987.
[13] Jackson, P., An Introduction to Expert Systems, Williams Publishers: М., 624 pp., 2001.
[14] Perminov, I.A., Orlick, V.G. & Gordinsky, A.A., Flow path state diagnostics for steam turbines of high capacity with the use of power plant computational complexes. CKTI Transactions, 273, pp. 58–61, 1992.
[15] Brodov, Yu.M., Aronson, K.E. & Nierenstein, M.A., The concept of diagnostics system for condensing steam turbine unit. Thermal Engineering, 7, pp. 34–38, 1997.
[16] Khaet, S.I., Aronson, K.E., Brodov, Yu, M. & Shempelev, A.G., Development and test-ing of the monitoring system elements for condition control and diagnostic of steam turbine condenser. Thermal Engineering, 7, pp. 67–69, 2003.
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Aronson, K. E., Murmansky, B. E., Murmanskii, I. B., & Brodov, Y. M. (2020). An Expert System for Diagnostics and Estimation of Steam Turbine Components’ Condition. Int. J. Energy Prod. Manag., 5(1), 70-81. https://doi.org/10.2495/EQ-V5-N1-70-81
K. E. Aronson, B. E. Murmansky, I. B. Murmanskii, and Y. M. Brodov, "An Expert System for Diagnostics and Estimation of Steam Turbine Components’ Condition," Int. J. Energy Prod. Manag., vol. 5, no. 1, pp. 70-81, 2020. https://doi.org/10.2495/EQ-V5-N1-70-81
@research-article{Aronson2020AnES,
title={An Expert System for Diagnostics and Estimation of Steam Turbine Components’ Condition},
author={Konstantin E. Aronson and Boris E. Murmansky and Ilia B. Murmanskii and Yuri M. Brodov},
journal={International Journal of Energy Production and Management},
year={2020},
page={70-81},
doi={https://doi.org/10.2495/EQ-V5-N1-70-81}
}
Konstantin E. Aronson, et al. "An Expert System for Diagnostics and Estimation of Steam Turbine Components’ Condition." International Journal of Energy Production and Management, v 5, pp 70-81. doi: https://doi.org/10.2495/EQ-V5-N1-70-81
Konstantin E. Aronson, Boris E. Murmansky, Ilia B. Murmanskii and Yuri M. Brodov. "An Expert System for Diagnostics and Estimation of Steam Turbine Components’ Condition." International Journal of Energy Production and Management, 5, (2020): 70-81. doi: https://doi.org/10.2495/EQ-V5-N1-70-81
Aronson K. E.， Murmansky B. E.， Murmanskii I. B.， et al. An Expert System for Diagnostics and Estimation of Steam Turbine Components’ Condition[J]. International Journal of Energy Production and Management， 2020， 5(1)： 70-81. https://doi.org/10.2495/EQ-V5-N1-70-81