Centrifugal Pump

Centrifugal pumps are crucial components in various industries, and research focuses on improving their efficiency, reliability, and predictive maintenance. Current studies leverage machine learning, particularly deep neural networks (DNNs) and physics-informed neural networks (PINNs), to analyze pump performance, predict failures (including novel fault classes), and optimize designs, often using data from sensors monitoring pressure, acoustics, and vibrations. These advancements offer significant potential for enhancing operational efficiency, reducing maintenance costs, and improving the safety and reliability of centrifugal pump systems across diverse applications, from oil extraction to water management.