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The resent paper introduces a multi-level decision-making approach for design of optimal embedded integrated diagnostic architecture that combines maintenance decisions at the k-levels of system architecture and integration with health and usage monitoring systems (HUMS) mechanisms for achieving efficient system for level maintenance and lowering life-cycle cost of Integrated Modular Avionics (IMA). HUMS can be implemented in software or directly on an integrated circuit. The effectiveness of such an approach is investigated through the optimization of embedded HUMS architecture for known reliability and economic dependence during life cycle of IMA.