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Aiming at the characteristics of complicated equipment of multi-hierarchy, multi-function and design for testability, optimization of hierarchical diagnostic strategy based on self-adaptive discrete particle swarm algorithm is studied in this paper. This algorithm improves the self-adaptive discrete particle swarm algorithm, introduces variety index, the worst solution of individual history, diffusion and polymerization process and self-adaptive inertia weight,then get the optimal diagnostic strategy by iterative computation. Finally, the main procedures are given, and experimental results show that the algorithm can reach an ideal trade-off between accuracy and computational complexity.