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As to health status evaluation for submarine-launched weapon based on large data analytics, this paper discusses concept and characteristic of large data, especially the main idea and application scope of four large data analysis methods, namely the neural network, swarm intelligence, correlation analysis and granular computing. A technical route of combining health status evaluation for submarine-launched weapons health status evaluation and large data analysis technology is proposed. And the problems of storage, weak availability and large data modeling existing in application of large data analysis are pointed out. Finally, application feasibility of large data analysis in health status evaluation for submarine-launched weapon is analysised.