基于超球支持向量机的船舶高温淡水系统状态评估
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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.
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.
引文
[1]余建星,杜尊峰,温晶晶.船舶电力系统状态评估方法研究[J].船舶工程,2008(6):39-41,58.
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[3]马超.船舶动力系统状态评估理论与应用研究[D].辽宁大连:大连海事大学,2015.
[4]王孟莲.船舶电力推进系统状态评估研究[D].武汉:武汉理工大学,2013.
[5]杜太利.“育鲲”轮主机高温冷却水系统的三维设计及仿真[D].辽宁大连:大连海事大学,2010.
[6]范昕炜.支持向量机算法的研究及其应用[D].杭州:浙江大学,2003.
[7]高翔.超球支持向量机在语音识别中的应用研究[D].太原:太原理工大学,2011.
[8]黄光鑫.支持向量数据描述与支持向量机及其应用[D].成都:电子科技大学,2011.
[9]刘雨.基于支持向量数据描述与信息融合的设备性能退化评估研究[D].上海:上海交通大学,2009.
[2]石昌峰.基于径向基神经网络的船舶冷却水系统故障诊断[D].辽宁大连:大连海事大学,2012.
[3]马超.船舶动力系统状态评估理论与应用研究[D].辽宁大连:大连海事大学,2015.
[4]王孟莲.船舶电力推进系统状态评估研究[D].武汉:武汉理工大学,2013.
[5]杜太利.“育鲲”轮主机高温冷却水系统的三维设计及仿真[D].辽宁大连:大连海事大学,2010.
[6]范昕炜.支持向量机算法的研究及其应用[D].杭州:浙江大学,2003.
[7]高翔.超球支持向量机在语音识别中的应用研究[D].太原:太原理工大学,2011.
[8]黄光鑫.支持向量数据描述与支持向量机及其应用[D].成都:电子科技大学,2011.
[9]刘雨.基于支持向量数据描述与信息融合的设备性能退化评估研究[D].上海:上海交通大学,2009.