A zero‐sample state evaluation model for valve‐side bushing of UHV converter transformer oriented to digital twin under attribute analysis

Abstract The valve‐side bushing of the UHV converter transformer is key equipment in DC transmission project, and its running state directly affects security stability power system. This paper analyses attributes physical entities, uses digital twins to establish feature set proposes a zero‐sample evaluation algorithm for bushing. First, geometric, materials electrical characteristics are analyzed, detailed components carrier current obtained by empirical mode decomposition. Then, COMSOL used twins, verify validity with axial heat distribution bushing, extreme temperature inside outside Finally, fuzzy clustering classify set, similarity as index realize Through demonstration analysis examples, model solves problems difficulty extracting internal features, fewer fault samples, training difficulty, which conducive improving operation maintenance management level equipment.