This　article　addresses　fault-tolerant　event-triggered　sampled-data　(SD)　fuzzy　control　for　nonlinear　delayed　parabolic　partial　differential　equation　(PDE)　systems　under　spatially　point　measurements　(SPMs).　First,　a　Takagi–Sugeno　(T–S)　fuzzy　delayed　PDE　model　is　presented　to　accurately　describe　the　nonlinear　delayed　parabolic　PDE　systems.　Second,　a　fault-tolerant　event-triggered　SD　fuzzy　control　strategy　under　SPMs　is　designed　to　cope　with　Markov　jump　faults　occurring　in　actuators,　which　can　effectively　reduce　the　unnecessary　data　transmission　and　be　achieved　by　finite　sensors　and　actuators.　The　membership　functions　of　the　proposed　controller　are　determined　by　the　measurement　output　and　independent　of　the　fuzzy　delayed　PDE　plant　model.　Then,　by　constructing　a　Lyapunov　functional,　sufficient　conditions　that　guarantee　the　stochastically　exponential　stability　of　closed-loop　nonlinear　delayed　parabolic　PDE　systems　are　obtained　based　on　linear　matrix　inequalities　(LMIs).　Last,　two　examples　are　given　to　illustrate　the　designed　approach.　IEEE