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Research on Maintenance Spares Support Based on Combat Phrase

机译:基于战斗短语的维修备件支持研究

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Aiming at the problem that maintenance spares are difficult to be accurately guaranteed in each combat phrase due to multiple influencing factors of maintenance spares consumption in the combat support process, strong randomness, constantly changing and difficult to be accurately quantified, a maintenance spares support method based on fuzzy data fusion is proposed. And a spares consumption fuzzy prediction model based on expert experience prediction value and Markov prediction value is established. On this basis, the influence factor is introduced to make the prediction results more realistic. The method is verified by an example. And the results show that the method can effectively realize the precise guarantee of maintenance spares in each combat phrase.
机译:针对由于在作战保障过程中维修备件消耗的多种影响因素,随机性强,变化频繁,难以准确量化而难以准确保证每个战斗阶段的维修备件的问题。提出了模糊数据融合技术。建立了基于专家经验预测值和马尔可夫预测值的备件消耗模糊预测模型。在此基础上,引入影响因子使预测结果更加真实。实例验证了该方法。结果表明,该方法可以有效地保证每个战斗阶段的维修备件的精确保证。

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