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作 者:桑德宣 张琳[1] 张永波 王凤滨[1] 王振宇[1] 曹乐乐 SANG Dexuan;ZHANG Lin;ZHANG Yongbo;WANG Fengbin;WANG Zhenyu;CAO Lele(China Automotive Technology Research Center Co.,Ltd.,Tianjin 300300,China;Wuxi Division of The 703 Research Institute of CSSC,Wuxi 214151,China)
机构地区:[1]中国汽车技术研究中心有限公司,天津300300 [2]中国船舶集团有限公司第703研究所无锡分部,江苏无锡214151
出 处:《内燃机》2025年第2期12-26,共15页Internal Combustion Engines
摘 要:针对船舶管路泄漏检测系统漏诊率较高的问题,本研究提出一种基于区间自适应阈值优化的新型泄漏检测方法。首先,基于多端口能量传递理论构建船舶管路系统的键合图模型,通过拓扑结构分析和状态方程推导建立解析冗余关系(Analytical Redundancy Relations,ARRs);其次,采用线性分式变换(Linear Fractional Transformation,LFT)方法对系统参数不确定性进行建模,结合区间数学理论推导出区间解析冗余关系(Interval-based ARRs)。创新提出了基于区间计算的自适应阈值生成算法,并通过动态更新阈值边界提升故障检测灵敏度。采用管路泄漏故障模拟平台开展实验,测试工况包含10%~20%泄漏量范围,结果表明:相较于传统固定阈值方法及非区间自适应阈值方法,本方法对微小泄漏的检测灵敏度更高,显著改善了泄漏检测的准确性和可靠性。In response to the high missed diagnosis rate in the current ship pipeline leakage detection system,this study proposes a novel leakage detection method based on interval adaptive threshold optimization.The method first constructs a bonding graph model of the ship pipeline system based on multi-port energy transfer theory.Through topological structure analysis and the derivation of the state equations,the analytical redundancy relations(ARRs)of the system are established.Secondly,the Linear Fractional Transformation(LFT)method is used to model the uncertainty of the system parameters,combined with interval mathematical theory,to derive the interval-based analytical redundancy relations with parameter uncertainty.On this basis,an innovative adaptive threshold generation algorithm based on interval computation is proposed,which enhances fault sensitivity by real-time updating of threshold boundaries.In the experimental verification phase,a pipeline leakage fault simulation platform is used for testing under different working conditions(including a custom-defined 10%-20% leakage fault).The results show that compared to traditional fixed thresholds and adaptive thresholds without interval analysis,this method has a higher sensitivity for detecting minor leaks,significantly improving the accuracy and reliability of leakage detection.
分 类 号:U664[交通运输工程—船舶及航道工程]
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