Automation and information-measuring equipment

Analysis of the Skewness of the Electrodes of Runout Capacitive Sensor of Hydro Generators Condition Monitoring System Impact on its Conversion Function

Authors

S. A.
nstitute of Electrodynamics of the NAS of Ukraine, Kyiv
V. О. Bereznychenko
Institute of Electrodynamics of the NAS of Ukraine, Kyiv
DOI https://doi.org/10.31649/1997-9266-2024-175-4-7-14

Keywords

generator runout capacitive sensor skewing response function monitoring system

Abstract

In the paper the impact of the skewness of the surface where the electrodes (sensitive the elements) of the runout capacitive sensor are located on its conversion function is considered. The sensor is designed for the usage in control and diagnostics systems of the actual technical condition of high-power hydro generators. During the assembly runout capacitive sensors may be installed with deviations relatively the normal to the surface, which is controlled, or as a result of technological errors the surface of the sensors may be located under certain angle to the shaft axis, also deviations may occur as a result of vibration or other impacts in the process of operation. It is noted that the response function of the runout capacitive sensor is greatly influenced by the deviation of the planes of electrodes location relatively the axis of the shaft surface. To assess the effect of influence of the skew error on the runout capacitive sensors response function stability, a calculation scheme was used and simulations were conducted in the Comsol Multiphysics environment. The research conducted enabled to obtain response functions for runout capacitive sensors with plane-parallel electrodes at different skewness angles of the surface of the electrodes location. Results of the experimental studies proved the correctness of the analytical propositions and data, obtained as a result of computer simulation The results of the analysis of the obtained response functions enabled to determine that the skewness influences the value of the informative component of the capacitance of the output value of response function of the runout capacitive sensors informative capacity of the output value of runout capacitive sensors and leads to the shift of the graph of the response function on additive component.

381 171

How to Cite

[1]
“Analysis of the Skewness of the Electrodes of Runout Capacitive Sensor of Hydro Generators Condition Monitoring System Impact on its Conversion Function ”, Вісник ВПІ, no. 4, pp. 7–14, Aug. 2024, doi: 10.31649/1997-9266-2024-175-4-7-14.

Author Biographies

S. A., nstitute of Electrodynamics of the NAS of Ukraine, Kyiv

Post-Graduate Student of the Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment

V. О. Bereznychenko, Institute of Electrodynamics of the NAS of Ukraine, Kyiv

 PhD, Researcher of the Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment

References

V. I. Smirnov, Methods and means of functional diagnostics and control of technological processes based on electromagnetic sensors, Ulyanovsk State Technical University, 2001, p. 190.
L. Zhaohui, Y. Ai, and S. Huixuan, “Optimal maintenance information system of gezhouba hydro power plant,” in Proc. of the 2007 IEEE power engineering society general meeting, pp.1-5, Tampa, FL, USA, 23 July 2007, https://doi.org/10.1109/PES.2007.385722 .
Condition Management System for Hydro-Turbine Generators. An Application Guide. [Electronic resource]. Available: http://www.fr-eps.com/docs/Bently-Nevada-CMS-HydroTurbine-brochureEN.pdf .
Condition monitoring solutions for hydroelectric power generation. [Electronic resource]. Available: https://dam.bakerhughesds.com/m/65bbcaf2f9e27e6a/n original/BHCS13978Hydro_Brochure_R2-pdf.pdf .
Bently Nevada 3500 Series Machinery Monitoring System. [Electronic resource]. Available: https://www.instrumart.com/productsets/425/bently-nevada-3500-series-machinery-monitoring-system .
Bently Nevada 3500 Vibration Monitoring System. [Electronic resource]. Available: https://www.ge.com/content/dam/gepower-pgdp/global/en_US/documents/technical/upgrade-documents/GEA32070ABentlyNevada3500-US-R1-LR.pdf .
2300 Vibration Monitors. Product Datasheet.Bently Nevada Asset Condition Monitoring. [Electronic resource]. Available: https://www.instrumart.com/assets/2300-Datasheet.pdf .
Bently Nevada 2300 Vibration Monitor Series. [Electronic resource]. Available: http://www.shurhay.com/pdf/2300-fact-sheet-gea31447d.pdf .
R. B. Randall, Vibration signals from rotating and reciprocating machines. Vibration-based condition monitoring. New York, 289 p., 2011.
ISO 20816-1:2016. Mechanical vibration. Measurement and evaluation of machine vibration. Part 1: General guidelines ISO79. Released: 2016-11-30. ISO/TC 108/SC 2 Measurement and evaluation of mechanical vibration and shock as applied to machines, vehicles and structures, 2016.
C. Trivedi, M. J. Cervantes, and B. K. Gandhi, “Investigation of a high head francis turbine at runaway operating conditions,” Energies, vol. 9, p.149, 2016. https://doi.org/10.3390/en9030149 .
G. C. B. Junior, R. D. Machado, A. C. Neto, and M. F. Martini, “Experimental aspects in the vibration-based condition monitoring of large hydrogenerators,” International Journal of Rotating Machinery, vol. 1, 14 p, 2017. https://doi.org/10.1155/2017/1805051 .
A. S. Levytskyi, G. M. Fedorenko, and O. P. Gruboi, “Control of the state of powerful hydro and turbogenerators by means of capacitive measuring instruments of mechanical defects parameters,” Kyiv: IED NANU, 2011, 242 p.
V. I. Bryzgalov, and L. A. Gordon, Hydropower plant. Krasnojarsk: IPC KGTU, 2002.
B. A. Alekseev, Determining the status (diagnostics) of large hydro generators. ENAS, 2002, 144 p.
A. V. Beloglazov, Development of adaptive tools for fault diagnostics and strategies for servicing hydrogenerator. Novosibirsk, 2011.
ISO 7919-5:2005. Mechanical vibration. Evaluation of machine vibration by measurements on rotating shafts . Part 5: Machine sets in hydraulic power generating and pumping plants. Released: 2005-04. ISO/TC 108/SC 2 Measurement and evaluation of mechanical vibration and shock as applied to machines, vehicles and structures, 2005.
ISO 13381-1:2015. Condition monitoring and diagnostics of machines. Prognosics. Part 1: General guidelines. Released: 2015-09. ISO/TC 108/SC 5 Condition monitoring and diagnostics of machine systems, 2015.
K. Zhuang, S. Huang, X. Fu, and L. Chen, “Nonlinear hydraulic vibration modeling and dynamic analysis of hydro-turbine generator unit with multiple faults,” Energies, vol. 15, p. 3386, 2022. https://doi.org/ 10.3390/en15093386 .
I. Zaitsev, and V. Bereznychenko, “Condition monitoring and fault diagnosis systems of power generators with non-contact shaft runout electrocapacitive transducer,” in 2023 IEEE KhPI Week on Advanced Technology (KhPIWeek-2023), 7-10 Oct. 2024, Kharkiv, Ukraine. pp. 1-6, 10.1109/KhPIWeek61412.2023.10311584 .
R. J. Muhammad, and S. A. R. Khaled, “Vibration measurement of a rotating shaft using electrostatic sensor,” Int. J. Recent Technol. Eng., vol. 10, pp. 97-105, 2021.
I. Zaitsev, A. Levytskyi, and V. Bereznychenko “Hybrid diagnostics systems for power generators faults: systems design principle and shaft run-out sensors,” in Power systems research and operation: Selected problems, Kyrylenko O., Zharkin A. and other. Eds., Springer, 2021, pp. 71-98. https://doi.org/10.1007/978-3-030-82926-1_4 .
V. L. Gerike, Monitoring and diagnostics of the technical condition of machine units, KuzGTU, 1999, 230 p.
I. A. Glebov, V. V. Dombrovsky, A. A. Dukshtau, A. S. Paper, G. B. Pinsky, and E. V. Shkolnik, Hydrogenerators, Energoizdat, 368 p., 1982.
F. Rolim, A. Tetreault, and R. Marshall, “Air gap monitoring system key element to correctly diagnose generator problems,” in Proc. II ENAM, Belém city, Para state, Brazil, 9 p., 2004.
А. С. Левицький, Є. О. Зайцев, В. О. Березниченко, «Відносна та абсолютна радіальна вібрація вала вертикального гідроагрегата,» Гідроенергетика України, № 3-4, с. 36-39, 2019.
I. Zaitsev, A. Levytskyi, and V. Bereznychenko, “Analysis of the technological production defects influence on response function of shaft run-out sensor for generator fault diagnosis system,” in 2021 IEEE 3rd Ukraine Conference on Electrical and Computer Engineering (UKRCON), Lviv, Ukraine, 2021, pp. 435-438, https://doi.org/10.1109/UKRCON53503.2021.9575886 .
I. Zaitsev, “Shaft run-out optical remote sensing system for large generator fault diagnosis, ” in Ukraine International conference on electrical and computer engineering (UKRCON-2021), 26-28 August, 2019 Lviv, Ukraine. pp. 339-342. https://doi.org/ 10.1109/UKRCON53503.2021.9575432 .
I. O. Zaitsev, A. S. Levytskyi, A. I. Novik, V. O. Bereznychenko, and A. M. Smyrnova, “Research of a capacitive distance sensor to grounded surface,” Telecommunications and Radio Engineering, vol. 78(2), pp. 173-180, 2019, https://doi.org/10.1615/TelecomRadEng.v78.i2.80 .