<p>This paper focuses on the development of a practical fixed-time prescribed performance fault-tolerant control strategy for flexible joint robots subject to unknown dead-zones and sensor failures. Command filtering techniques are utilized to reduce computational complexity, incorporating a first-order nonlinear filter. The derivative of the filter output is transformed into a filtering error. The filtering error is effectively compensated for using a compensation mechanism. The impact of dynamic uncertainties is attenuated through an auxiliary signal generated by a first-order system. The input dead-zone is linearized, and the prescribed performance is ensured through nonlinear transformation. Different adaptive update laws are designed to counteract the effects of sensor faults and external disturbances. By introducing a compact set in the stability analysis, all signals within the closed-loop system are proven to be semi-globally practically fixed-time stable (SGPFTS). Finally, simulation results confirm the feasibility of the proposed adaptive control strategy.</p>