Inter-turn　short-circuit　fault　(ITSCF)　in　doubly　fed　induction　generator　(DFIG)　effect　the　performance　of　the　wind　turbine,　so　the　surveillance　of　DFIGs　is　of　very　importance　for　the　safe　operation　of　the　wind　turbine.　To　solve　this　issue,　an　experimental　setup　was　constructed　for　the　detection　of　stator　ITSCF.　This　experimental　setup　consist　of　three-phase　wound　rotor　induction　machine　(WRIM),　monitoring　systems,　frequency　converters　and　related　control　and　a　drive　motors.　This　experimental　system　can　truly　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.　Flux　monitoring　method　was　used　to　detect　the　ITSCF　in　stator　windings.　Time　domain　analysis　was　used　on　flux　signal　to　detect　the　ITSCF　at　its　initial　stage　of　the　fault.　Empirical　Mode　Decomposition　(EMD)　method　was　applied　on　flux　to　detect　the　stator　ITSCF.　The　EMD　of　the　flux　signal　in　the　stator　winding　ITSCF　yields　9　layers　of　empirical　modal　components　IMFs.　The　IMF5　and　IMF6,　was　found　useful　to　discriminate　the　normal　and　faulty　condition　of　the　machine.　The　results　show　that　EMD　analysis　on　flux　monitoring　is　advance　and　effective　way　than　the　other　methods　to　detect　the　ITSCF　in　stator　windings.　©　2020　IEEE.