支持向量机在液压支架可靠性预测中的应用

SUPPORT VECTOR MACHINE FOR HYDRAULIC SUPPORT RELIABILITY PREDICTION

为了提升国产高端液压支架的竞争力,急需开展可靠性工程,对于在役液压支架进行可靠性评估可以有效地为后续得的产品研发、改进提供参考,也可为新研制架型的可靠性试验提供参考。基于支持向量机对小样本数据处理具有很大的优势,提出了对在役液压支架维修情况调研获得的数据为小子样的情况下,采用支持向量回归机对液压支架故障时间的两参数威布尔分布进行了参数估计,比较了不同经验公式下所得结果的精度,选取最高精度参数评估并预测了该架型的可靠性。结果表明:支持向量机可以很好的用于液压支架小样本维修数据的可靠性评估;液压支架故障时间服从威布尔分布,某常用液压支架无故障工作时间威布尔分形状参数β=3.015 7,尺度参数η=61 728。

In order to enhance the competitiveness of the domestic hydraulic support. It is imperative to carry out reliability engineering. The reliability evaluation of the hydraulic support in service can effectively provide reference for the development and improvement of the product. It can also provide a reference for development of new type of reliability test. Based on support vector machine has great advantages in small sample data processing, Putting forward using support vector regression machine estimate weibull distribution parameter of hydraulic support failure time, when the failure date is small sample. The accuracy of the results obtained by different empirical formulas is compared. The reliability of the model is evaluated and predicted by the highest accuracy. Research shows that： support vector machine can be used to evaluate the reliability of hydraulic support under small sample maintenance data. Shape parameter of some commonly used hydraulic support reliability Weibull distribution is 3. 0157, the scale parameter is 61728.