Due to the complexity of high-powered multi-function phased-array radars, immediate maintenance by detecting failed elements, fault localizing, and repair is rarely adopted in these complex systems. The single item failure rate is relatively high in these systems, sometimes daily in larger arrays, and frequent maintenance would make these arrays unavailable for extended periods of time. The current practice for phased-arrays radar is cyclic or delayed maintenance, which still results in decreased operational availability. Prognostics and Health Management (PHM) provides an estimated Remaining Useful Life (RUL) for each component and the system as a whole, while trying to improve system availability and reduce maintenance costs. Accordingly, IAI and its collaborators from Lockheed Martin Mission Systems and Training (MST) have proved the feasibility of a Reliability Analysis Enhanced Prediction System (RAPS) for Phased-Array Radar Health Management. Working with an expanded team that includes members from Raytheon, and the University of South Carolina, a systematic component and system level prognostics is being conducted to predict future operational impact. The key innovation of RAPS is its enhanced reliability analysis engine for RUL prediction. Reliability analysis data will be incorporated into existing maintenance procedures to provide confident estimates for RUL prediction at both the component and system levels. A functional prototype of RAPS will be developed during this effort, and will be further improved after obtaining user feedback.