<p>This study develops an event-triggered control strategy utilizing the fully actuated system approach for nonlinear interconnected large-scale systems containing actuator failures. First, to reduce the complexity of the design process, we transform the studied system into the form of a fully actuated system through a state transformation. Then, to address the unknown nonlinear functions and actuator fault parameters, we employ neural networks and adaptive estimation techniques, respectively. Moreover, to reduce the control cost and improve the control efficiency, we introduce event-triggered inputs into the control strategy. It is proved by the Lyapunov stability analysis that all signals of the closed-loop system are bounded and the output of system eventually converge to a bounded region. The efficacy of the control approach is ultimately demonstrated via the simulation of an actual machine feeding system.</p>