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机构地区:[1]大连海事大学轮机工程学院,辽宁大连116026
出 处:《船舶工程》2017年第2期49-52,93,共5页Ship Engineering
基 金:基金项目:船舶动力装置智能诊断系统(9215294)
摘 要:文章建立了基于超球支持向量机的船舶高温淡水系统状态评估模型,对训练样本确定以及核函数确定等方面进行深入研究。研究表明,利用系统中各设备自身性能方程所获得的训练样本能够准确地反映系统最优状态,建立起评估基准。另外,当核参数为5时,所建立的超球体稳定且准确,适合用于状态评估。通过对3个实际工况的评估分析,结果表明该方法在船舶系统状态评估方面具有一定的实际应用价值。In the article, the hyper sphere support vector machine is used to establish the state evaluation model of the ship high temperature freshwater system. The model studies deeply on some aspects such as the determination of the training sample and the kernel function. The study shows that the training sample which is obtained by using the performance equation of the system's equations can accurately reflect the system optional state. Then the evaluation benchmark is established. Furthermore, when the kernel parameter is 5, the hypersphere is stable and accurate, and it is suitable for state evaluation. Through analyzing three actual working conditions, the results suggest that the method has a certain practical application value for the ship system state evaluation.
分 类 号:U664.814[交通运输工程—船舶及航道工程]
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