FAULT DIAGNOSIS METHOD FOR HVDC TRANSMISSION SYSTEMS BASED ON SEQUENCE LINK PREDICTION OF SER EVENTS

A fault diagnosis method for HVDC transmission systems based on sequence link prediction of SER events is provided. Specifically, an event knowledge graph is introduced, direct-current project historical cases are integrated, an abnormal event knowledge graph for HVDC transmission systems taking an SER abnormal event as a core is constructed, and information gap between entities such as projects and faults and abnormal events are bridged, so that a navigable and reasonable global semantic network is formed, and deep coupling between business and knowledge is achieved. Moreover, a sequence link prediction task is defined, a fault diagnosis dataset for HVDC transmission systems is constructed, a pre-trained language model is introduced, a fault diagnosis model and system for HVDC transmission systems based on sequence link prediction of SER events is established, and hidden high-dimensional correlation features between projects, abnormal events and system faults are extracted, and fault diagnosis is completed autonomously.