Summary:
This paper presents a method for efficiency monitoring of two circulating water pumps working in a combined cycle power plant for cooling the steam coming from a water-steam turbine. The method is based on monitoring the performance of the pumps over time using machine learning techniques that try to discover patterns in the data observed from the pumps. This permits the maintenance staff to assess the possible degradation of the pumps and evaluate the effect of the corrective and preventive maintenance implemented. Some examples of real cases will be presented in the paper to illustrate the method proposed.
Spanish layman's summary:
Método para monitorizar la eficiencia de dos bombas de agua de circulación de una central de ciclo combinado para enfriar el vapor procedente de una turbina de agua-vapor. Se basa en el seguimiento del rendimiento de las bombas a lo largo del tiempo mediante técnicas de ML. Permiten descubrir patrones en los datos observados de las bombas que son útiles para planificar mantenimiento.
English layman's summary:
Method for efficiency monitoring of two circulating water pumps of a combined cycle power plant for cooling the steam coming from a water-steam turbine. It is based on monitoring the performance of the pumps over time using ML techniques. They permit the discovery of patterns in the data observed from the pumps that are useful for maintenance purposes.
Keywords: machine learning, health condition, cooling water pump, efficiency degradation
JCR Impact Factor and WoS quartile: 1,400 - Q2 (2023)
DOI reference: https://doi.org/10.36001/ijphm.2025.v16i1.4160
Published on paper: December 2024.
Published on-line: January 2025.
Citation:
M. Casero, M.A. Sanz-Bobi, F.J. Bellido-López, A. Muñoz, D. González-Calvo, T. Álvarez Tejedor, Efficiency monitoring of a cooling water pump based on machine learning techniques. International Journal of Prognostics and Health Management. Vol. 16, nº. 1, pp. 1 - 6, December 2024. [Online: January 2025]