Research on Fault Diagnosis and Prevention Strategies for Communication Power Supplies in Electrical Engineering Automation
To improve the reliability and maintainability of electrical engineering automation systems,it is necessary to explore methods and strategies for diagnosing and warning communication power supply faults.Specifically,analyze the working principle,typical fault modes,and causes of communication power supply in electrical engineering automation,propose a data-driven fault diagnosis and warning method,achieve fault prediction through high-precision data collection,feature extraction,and machine learning models,and further discuss communication power supply health management and fault prevention strategies.Through the construction of a health assessment index system,the application of partial discharge monitoring and aging diagnosis technology,and the implementation of communication power supply maintenance and updates,achieve the goal of effectively preventing communication power supply faults,in order to provide important guidance for the stable operation of electrical engineering automation.
communication power supplyfault diagnosisdata driven
NETL
NSTL
万方数据
