Inter-turn　short　circuit　fault　in　doubly-fed　generator　is　a　common　electrical　fault　that　directly　affects　the　normal　operation　of　the　wind　turbine　and　endangers　the　safety　of　the　grid　connection.　This　paper　proposes　an　inter-turn　short　circuit　fault　identification　technology　based　on　multi-flux　sensor　data　fusion.　A　simulation　experiment　platform　for　the　inter-turn　short　circuit　fault　of　a　doubly-fed　generator　with　a　power　of　100　kW　is　used,　consisting　of　a　three-phase　wound　rotor　induction　machine,　monitoring　systems,　frequency　converters,　and　related　control　a　drive　motor.　This　experimental　system　can　genuinely　simulate　the　actual　working　conditions　of　the　machine　when　the　machine　is　short-circuited,　and　the　experimental　simulation　can　be　closer　to　the　operation　process　of　the　double-fed　induction　generator.　The　signal　detection　system　is　used　to　collect　the　external　magnetic　flux　leakage　signal　of　the　motor.　Flux　sensors　are　placed　in　the　axial　and　radial　positions,　then　extracting　the　RMS　value　of　each　flux　sensor　as　the　characteristic　value.　Use　D-S　evidence　theory　to　fuse　data　from　magnetic　flux　sensors　to　determine　the　operating　status　of　the　generator.　This　method　can　effectively　detect　the　short　circuit　fault　of　rotor　windings.　©　2021　IEEE.