This paper presents a fault-tolerant control method for the semi-active air suspension using adaptive memory-event triggered mechanism. Firstly, considering the parameter uncertainties and nonlinearities of the air spring and magnetorheological damper, the Takagi-Sugeno fuzzy method is employed to describe the nonlinear air suspension system. Secondly, an adaptive memory-event-triggered mechanism is proposed for the purpose of deciding whether to trigger sampled data packets by utilizing the recently released historical data. Meanwhile, the triggered threshold can be adaptively adjusted in response to the change of the air suspension system states. Moreover, considering the inevitable actuator failures in control systems, a robust fault-tolerant control method is introduced to maintain system stability and mitigate the effect on system performance under actuator failure condition. Simulations are conducted to assess the superiority of the proposed controller under multiple working pavements, despite the existence of actuator failures.