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船舶动力机械设备噪声数据远程监测方法 被引量:3

Remote monitoring method for noise data of marine power machinery equipment
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摘要 船舶动力设备作为船舶动力发生核心单元,其设备运行的稳定尤为重要。其中,动力设备运行过程中的噪声数据,可直接作为监测判定船舶动力设备故障与否的重要信息源。在对噪声源监测过程中发现,传统的动力设备噪声监测方法,对噪声数据源单频信号通道支持计算缺乏逻辑支撑,导致数据分析无法接入网络,完成远端的监测执行,不利于噪声数据的远端综合分析与大数据化的指挥调度。为此,提出船舶动力机械设备噪声数据远程监测方法。1)通过对现有噪声数据监测算法的数学建模,得到单频通道下的噪声信号频谱特征规律;2)根据单频噪声信道频谱规律计算得出单频信道的逻辑函数;3)引入EEDM单频噪声信道特征逻辑算法,对噪声单频信道逻辑进行优化计算,实现对远程执行协议逻辑的支持,完成动力设备噪声数据的远程检测;4)通过仿真实验证明提出方法的有效性。 As the core unit of ship power generation,the stability of ship power equipment operation is particularly important.Among them,the noise data during the operation of power equipment can be directly used as an important information source for monitoring and judging the failure of marine power equipment.In the process of monitoring noise sources,it is found that the traditional noise monitoring method of power equipment lacks logical support for single-frequency signal channel support calculation of noise data sources,which results in data analysis can not access the network to complete remote monitoring and execution;it is not conducive to remote comprehensive analysis of noise data and large-data command and dispatch.To this end,a remote monitoring method for noise data of marine power machinery equipment is proposed.Firstly,through the mathematical modeling of existing noise data monitoring algorithms,the spectrum characteristics of noise signal in single frequency channel are obtained.Secondly,the logic function of single frequency channel is calculated according to the spectrum rules of single frequency noise channel;secondly,EE is introduced.DM single-product noise channel characteristic logic algorithm optimizes the single-frequency noise channel logic,realizes the support of remote execution protocol logic,completes the remote detection of power equipment noise data.Finally,simulation experiments prove the effectiveness of the proposed method.
作者 王国强 孙红艳 翟旭军 WANG Guo-qiang;SUN Hong-yan;ZHAI Xu-jun(Key Laboratory of Modern Agricultural Equipment and Technology,Ministry of Education,Jiangsu University,Zhenjiang 212013,China;Department of Agricultural Engineering,Jiangsu Agriculture&Animal Husbandry Science and Technology Vocational College,Taizhou 225300,China;Taizhou College of Nanjing Normal University,Taizhou 225300,China)
出处 《舰船科学技术》 北大核心 2019年第18期76-78,共3页 Ship Science and Technology
基金 国家自然科学基金项目(51605196) 江苏农牧科技职业学院院级资助项目(NSF201707)
关键词 船舶 动力设备 噪声数据 远程监测 ship power equipment noise data remote monitoring
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