灰色模型在装备故障预测中应用分析

摘要

In equipment fault prediction, because grey system modeling does not require to find the probability distribution and statistical regularity of data, one of grey prediction algorithms is analyzed and applied to some e-quipments fault prediction. The results indicate that the algorithm is feasible and the degree of accuracy is much higher, which not only helps the maintenance staff to detect and test the status of the equipments but also increases the reliability and maintenance of the equipments. So this research has much military application value.%在装备故障预测中,根据灰色建模不需要寻找数据的概率分布和统计规律的优势,给出了一种灰色预测算法步骤,并将其应用于某型装备故障预测中加以分析.结果表明该方法不仅可行,且预测精度较高,从而帮助装备维修保障人员更好地检测和测试装备状态,提高装备可靠性和维修性,具有一定的军事应用价值.