High-power multi-function phased-array radars typically employ a grid of hundreds or thousands of fixed antenna elements, each of which transmit and receive a signal beam. Preventive maintenance for these naval radars is currently time-consuming and requires human monitoring. Prognostics and Health Management (PHM) practices can provide an estimate of the Remaining Useful Life (RUL) of a component, improve system availability, and reduce maintenance costs. Phased-array radars are a unique application for PHM due to the large number of small and homogeneous element antennas, and the inherent challenges that exist in RUL predictions. To address these concerns, IAI and its collaborator, Lockheed Martin, will develop a Reliability Analysis-enhanced Prediction System (RAPS) for phased-array radar health management. Compared to other state-of-the-art techniques, RAPS provides a systematic approach to address the RUL prediction for radar system diagnostics and prognostics by taking into account the redundancy of radar system components. RAPS consists of three main modules: diagnostics and health index estimation that detects a potential failure and quantifies its degradation state, baseline RUL prediction, and reliability-based prognostic fusion. RAPS will improve RUL predictions of components by advanced prognostic algorithms, and by adaptively accommodating loading conditions being experienced from the reliability analysis of failed homogeneous components. RAPS also provides accurate fault degradation status estimation based on advanced two-step estimation approach to improve the robustness and accuracy of degradation estimation, which can also address intermittent fault degradation. The successful implementation of RAPS will increase the overall availability and reliability of phased-array radar systems.