Research and application of key technologies for predictive maintenance of pump units in digital twin Xiajiang Hydro-junction
To ensure the safe,stable,and efficient operation of large-scale pump units in pump stations,this study explores predictive maintenance techniques through the pioneering application of a digital twin framework for the Xiajiang Hydro-junction.Addressing the limitations of safety monitoring,inability to predict faults,and difficulty in fault localization in Tongjiang Electric Drainage Station pump units within the Xiajiang Hydro-junction reservoir area,the research focuses on key technologies and their implementation for predictive maintenance of large pump station units.Relying on multi-domain coupling dynamics modeling,tensor adaptive decomposition signal processing,and artificial intelligence training,the digital twin platform of the Xiajiang Hydro-junction enables real-time monitoring of equipment status,fault diagnosis and forecasting,automated health status warnings,and visualization of monitoring data and results.The developed technical system and outcomes are applicable to the safe operation and maintenance of rotating electromechanical equipment in hydraulic projects,providing decision-making support for the safety,scheduling,and maintenance of hydraulic engineering.
万方数据
维普
