{"id":35695,"date":"2025-12-19T12:18:11","date_gmt":"2025-12-19T08:18:11","guid":{"rendered":"https:\/\/cue.edu.ge\/?post_type=articles&p=35695"},"modified":"2025-12-19T12:19:06","modified_gmt":"2025-12-19T08:19:06","slug":"implementation-of-wind-turbine-condition-monitoring-system-in-industry","status":"publish","type":"articles","link":"https:\/\/cue.edu.ge\/en\/articles\/implementation-of-wind-turbine-condition-monitoring-system-in-industry\/","title":{"rendered":"Implementation of Wind Turbine Condition Monitoring System in Industry"},"content":{"rendered":"

Giorgi Gelashvili<\/strong><\/p>\n

Ph.D. Student, Georgian Technical University<\/p>\n

georgegelashvili5@gmail.com<\/a><\/p>\n

 <\/p>\n

Abstract<\/strong><\/p>\n

The advantage of the presented model primarily lies in its functional and practical approach: for data monitoring, compiling detailed reports, and conducting historical data analysis, the already existing Pxtrend system in the plant is utilized, while data collection and management are carried out using SIEMENS PCS 7 , which has direct access to the installed equipment. For visualization and the display of real-time data, WINCC 9.1 is used. These programs are fully compatible and can be easily integrated with an Excel-based analytical model. Through this combination, it becomes possible to effectively and transparently process data on the wind speed exiting the tower, vibrations, temperature, and turbine operating hours. The incoming information is converted into signals and are being processed on the above-mentioned platforms, after which this information is converted into our Excel-based monitoring document. Ultimately, the obtained data are presented as visually perceptible signals, which enable the technical personnel to respond in a timely manner.<\/p>\n

Keywords: <\/strong>Renewable energy, cement plant, exhaust tower, vertical-axis wind turbine, monitoring system.<\/p>\n

JEL<\/strong>: C87, O33, Q42<\/p>\n

DOI: <\/strong>10.52244\/c2025.26<\/p>\n

The article is in Georgian.<\/strong><\/p>\n

References<\/strong><\/p>\n

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Salvador\u2011Gutierrez, B., Sanchez\u2011Cortez, L., Hinojosa\u2011Manrique, M., Lozada\u2011Pedraza, A., Ninaquispe\u2011Soto, M., Monta\u00f1o\u2011Pisfil, J., Guti\u00e9rrez\u2011Tirado, R., Ch\u00e1vez\u2011S\u00e1nchez, W., Romero\u2011Goytendia, L., D\u00edaz\u2011Aliaga, J., & Vigo\u2011Rold\u00e1n, A. (2025). Vertical\u2011axis wind turbines in emerging energy applications (1979\u20132025): Global trends and technological gaps revealed by a bibliometric analysis and review. Energies, 18<\/em>(14), 3810. https:\/\/doi.org\/10.3390\/en18143810<\/a><\/p>\n

Clavijo\u2011Camacho, J., Gomez\u2011Ruiz, G., Sanchez\u2011Herrera, R., & Magro, N. (2025). Remote Real\u2011Time Monitoring and Control of Small Wind Turbines Using Open\u2011Source Hardware and Software. Applied Sciences, 15<\/em>(12), 6887. https:\/\/doi.org\/10.3390\/app15126887<\/a><\/p>\n

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Turnbull, A., & Carroll, J. (2021).<\/strong> Cost benefit of implementing advanced monitoring and predictive maintenance strategies for offshore wind farms<\/em>. Energies, 14<\/strong>(16), Article 4922. https:\/\/doi.org\/10.3390\/en14164922<\/a><\/p>\n

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