Experimental-Modeling Evaluation Between Hydraulic and Electrical Variables Using Copulas and Spectral Analysis for a Centrifugal Pump

Document Type : Regular Article

Authors

1 Applied Mechanics Research, Group, Mechanical Engineering Department, Universidad EAFIT, Medellín 050022, Colombia

2 Pulp and Paper Research Group, Faculty of Chemical Engineering, Universidad Pontificia Bolivariana, Medellín 56006, Colombia

3 Department of Basic Sciences, Universidad Católica Luis Amigó, Medellín 050034, Colombia

4 Department of Mechanical Engineering, Universidad del Norte, Barranquilla 081001, Colombia

Abstract

Centrifugal pumps are turbomachines that have wide industrial applications and could perform in different ways such as pump and turbine mode. The maintenance of this equipment is mostly carried out using invasive methods that are expensive, time-consuming, and even complicated. The application of non-invasive methods is sought since they offer the advantage of real-time monitoring without stopping the process, reducing component assembly and disassembly times and providing a faster response. The aim of this work is done an experimental investigation that shows evidence about how the information on the hydraulic variables can be obtained if the electrical variables are monitored for the modes of operation such as pump and turbine. This work is divided into two parts, the first part is based on a statistical analysis to perform a multivariate adjustment through copulas and probability distributions. The second part focuses on the graphical analysis of the power density spectra for the hydraulic variables, the torque, and the defined electrical variables. The amplitude peaks of each variable and which peaks are common between them are determined. A statistically significant fit for Tawn type 2 copula is obtained with the indicator variable of pressure fluctuation and a multivariate transformation of the three-phase network currents. In the spectra analysis, common amplitude peaks are observed between the spectra that indicate the information flow on the phenomena between the hydraulic variables and the electrical variables.

Keywords


Aas, K., T. Nagler, M. Jullum and A. Løland (2021). Explaining predictive models using shapley values and non-parametric vine copulas. Dependence Modeling 9(1), 62-81.##
Al-Hashmi, S. A. (2012). Spectrum analysis of acoustic signals for cavitation detection. In IEEE Symposium on Industrial Electronics and Applications, Bandung, Indonesia.##
Al-Obaidi, A. R. (2019). Investigation of effect of pump rotational speed on performance and detection of cavitation within a centrifugal pump using vibration analysis. Heliyon 5(6), e01910.##
Baldassarre, A., M. De Lucia and P. Nesi (1998). Real-time detection of cavitation for hydraulic turbomachines. Real-Time Imaging 4(6), 403-416.##
Bolaños, H. D. (2018). Fenómenos Hidrodinámicos Periódicos en Una Bomba Centrífuga de Baja Velocidad Específica. Bachelor's thesis, EAFIT University, Medellín, Colombia.##
Bolaños, H. D. and F. Botero (2021). Four-quadrant Characterization of hydrodynamic phenomena in a low specific speed centrifugal pump. Ingenieria y Universidad 25, 1-22.##
Bolaños, H., G. Angarita, S. Richard and F. Botero (2019). Image processing in vortex rope characterization. Revista Colombiana de Tecnologías de Avanzada 3, 101-108.##
Flórez, R. O. and J. A. Jiménez (2008). Máquinas hidráulicas reversibles aplicadas a micro centrales hidroeléctricas. IEEE Latín América Transctions 6(2), 170-175.##
Genest, C. and A. C. Favre (2007). Everything you always wanted to know about copula modeling but were afraid to ask. Journal of Hydrologic Engineering 12(4), 347-368.##
Gómez Ríos, W. J. (2017). Análisis de Frecuencia Hidrológico Multivariado Para Eventos Extremos Mediante Funciones Cópula Arquimedianas. Casos de Estudio: Cuenca Baja Del Río Tunjuelo Y Región De La Mojana (Colombia). Master thesis, Universidad Nacional de Colombia, Bogotá, Colombia.##
Jaramillo-Elorza, M. C. and J. A. Lozano (2014). Construcción de distribuciones multivariadas con marginales dependientes usando cópulas en R. Ciencia en Desarrollo 5(1), 21-29.##
Lagos, I. J. and J. A. Vargas (2003). Sistema de familias de distribuciones de Johnson, una alternativa para el manejo de datos no normales en cartas de control. Revista Colombiana de Estadística 26(1), 25-40.##
Li, G., X. Ding, Y. Wu, S. Wang, D. Li, W. Yu, Y. Zhu and Y. Guo (2022). Liquid-vapor two-phase flow in centrifugal pump: Cavitation, mass transfer, and impeller structure optimization. Vacuum 201, 111102.##
Li, P. (2005). Box-Cox transformations: an overview. Presentation. https://www.ime.usp.br/~abe/lista/pdfm9cJKUmFZp.pdf.##
Liu, D., C. Li and O. P. Malik (2021). Nonlinear modeling and multi-scale damping characteristics of hydro-turbine regulation systems under complex variable hydraulic and electrical network structures. Applied Energy 293, 116949.##
Machado, G., E. Albánez, J. Rengifo and A. Bueno (2016). Diagnóstico de cavitación en bombas centrífugas mediante técnicas espectrales no invasivas. In 13th International Congress on Numerical Methods in Engineering and Applied Sciences, Rome, Italy.##
Moreno, D. C. (2012). Method to Choose an Archimedean Copula Optimal. Ph. D. thesis, Universidad Nacional de Colombia, Bogotá, Colombia.##
Mousmoulis, G., J. Anagnostopoulos and D. Papantonis (2019). A review of experimental detection methods of cavitation in centrifugal pumps and inducers. International Journal of Fluid Machinery and Systems 12(1), 71-88.##
Muttalli, R. S., S. Agrawal and H. Warudkar (2014). CFD simulation of centrifugal pump impeller using ANSYS-CFX. International Journal of Innovative Research in Science, Engineering and Technology 3(8), 15553-15561.##
Obidov, B., O. Vokhidov, D. Tadjieva, D. Saidkhodjaeva, U. Kurbanova and A. Isakov (2021). Hydrodynamic effects on the flow elements of the downstream devices in the presence of cavitation. In IOP Conference Series: Materials Science and Engineering, Tashkent, Uzbekistan.##
Perez, R. X (2022). Evaluating Centrifugal Pumps in Petrochemical Applications. Maintenance, Reliability and Troubleshooting in Rotating Machiner. John Wiley and Sons, New Jersey, USA.##
Taillon, G., K. Onishi, T. Mineshima and K. Miyagawa (2019). Statistical analysis of cavitation erosion impacts in a vibratory apparatus with copulas. IOP Conference Series: Earth and Environmental Science 240(6), 062035.##
Ullum, U., J. Wright, O. Dayi, A. Ecder, A. Soulaimani, R. Piché and H. Kamath (2006). Prediction of rotating stall within an impeller of a centrifugal pump based on spectral analysis of pressure and velocity data. Journal of Physics: Conference Series 52(1), 36-45.##
Wang, Y., X. Wang, J. Chen, G. Li, H. Liu and W. Xiong (2022). An experimental insight into dynamic characteristics and wear of centrifugal pump handling multi-size particulate slurry. Engineering Failure Analysis 138, 106303.##