In this paper, an event-triggered Fuzzy adaptive compensation controller is constructed for uncertain stochastic nonlinear systems with given transient specification and actuator failures. The main characteristics of the systems are that they take into account the effect of actuator failures and given transient specification, system communication resource limitation simultaneously. It is still an arduous task and challenge to design for uncertain stochastic nonlinear system specially. To stabilize the uncertain nonlinear stochastic systems, the fuzzy logic systems are used to approximate the unknown functions, an event-triggered control mechanism is established to save the system communication resource and a transformed system control mechanism is developed to satisfy the given transient specification all the time, in normal mode or faulty mode. Based on the Lyapunov approach, it is proved that all the signals of the closed-loop system are bounded, and the tracking error is limited to a given transient specification. The simulation results illustrates the effectiveness of the proposed control approach.