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基于图像特征的船用在线铁谱系统可测性评价方法
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NSFC-浙江两化融合联合基金项目(U1709215)


Measurability Evaluation Method of Marine Online Ferrography System Based on Image Features
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    摘要:

    磨粒分析是船舶动力装备健康监测的重要手段之一,但船用润滑油因污染严重导致润滑油劣化,进而影响铁谱磨粒分析的有效性。为了验证在线铁谱在船舶发动机磨粒监测的有效边界条件,以长江航道局吸盘3号挖泥船3号机油底壳滑油为样本,通过分析润滑油的劣化程度定量确定了在线铁谱系统失效边界。采集不同污染程度的滑油油样,通过在线铁谱获取未沉积磨粒和沉积磨粒的两组图像。通过对磨粒图像的分析,研究磨粒浓度对磨粒图像分割精度的影响,获得磨粒浓度与铁谱磨粒图像有效性之间的关系,并构建亮度和平均梯度2种铁谱图片可测性评估方法。实验验证表明,2种方法均能有效分辨有效图片和无效图片,为铁谱图片的有效分析和铁谱实时在线分析奠定了可靠性基础

    Abstract:

    Debris analysis is one of the important methods for the health monitoring of marine power equipment,but marine lubricants are seriously degraded due to pollution,which affects the validity of ferrograph debris analysis.In order to verify the effective boundary conditions of online ferrograph in the monitoring of wear debris of marine engines,taking the No.3 oil pan lube oil in the No.3 dredger of the Yangtze River Waterway Bureau Suction as a sample,the failure boundary of the online ferrograph system was determined through analyzing the deterioration degree of the lubricant.Oil samples of different degrees of pollution were collected,and two sets of images of undeposited abrasive grains and deposited abrasive grains were obtained by online ferrograph.Through the analysis of the wear debris images,the influence of the wear debris concentration on the segmentation accuracy of the wear debris images was studied,and the relationship between wear debris concentration and the effectiveness of ferrograph wear debris image was obtained,and the testability evaluation method of ferrograph image of brightness and average gradient was constructed.The experimental results show that both methods can effectively separate the effective and invalid pictures,which lays a foundation for the reliability analysis of the iron spectrum picture and the realtime online analysis of the iron spectrum.

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盛晨兴,张方臻.基于图像特征的船用在线铁谱系统可测性评价方法[J].润滑与密封,2020,45(6):7-14.
. Measurability Evaluation Method of Marine Online Ferrography System Based on Image Features[J]. Lubrication Engineering,2020,45(6):7-14.

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  • 在线发布日期: 2020-11-13
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