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作 者:张语然 王昌庆 金江善[1,2] ZHANG Yuran;WANG Changqing;JIN Jiangshan(Shanghai Marine Diesel Engine Research Institute,Shanghai 201108,China;National Engineering Research Center of Special Equipment and Power System for Ship and MarineEngineering,Shanghai 201108,China)
机构地区:[1]上海船用柴油机研究所,上海201108 [2]船舶与海洋工程特种装备和动力系统国家工程研究中心,上海201108
出 处:《柴油机》2023年第1期44-50,共7页Diesel Engine
基 金:船舶与海洋工程特种装备和动力系统国家工程研究中心资助项目。
摘 要:针对构建电控喷油器计量特性数字孪生体的需求,设计电控喷油器蓄压腔压力信号处理算法,包括模数转换、去除毛刺滤波、降噪滤波、数值单位转换和特征值提取等,用于提取蓄压腔压力特征值(t_(m),p_(m))。重点研究降噪滤波算法窗口长度N、迭代次数m等关键参数对特征值提取精度、稳定性及计算时间的影响,确定最佳滤波参数并在全工况范围内开展试验验证,结果表明使用最佳滤波参数的信号处理算法降噪滤波所需时间为3.99 ms,特征提取t_(m)的最大误差为139.9μs,特征提取p_(m)的最大相对误差为0.39%。In order to build the digital twin of the metering characteristics of a electronic injector,a signal processing algorithm for the accumulator pressure signals of the electronic injector was designed,which included analog-digital conversion,burr removal filter,noise reduction filter,numerical unit conversion and characteristic value extraction,to extract the characteristic value(t_(m),p_(m))of the accumulator pressure.The influence of key parameters such as window length N and iteration number m of the noise reduction filtering algorithm on accuracy,stability and calculation time of characteristic value extraction was mainly studied.The optimal filtering parameters were determined and verified by experiments in the whole working condition.The results show that the time required for noise reduction and filtering based on signal processing algorithm using optimal filtering parameters is 3.99 ms,and the maximum error of feature extraction of t_(m)is 139.9μs,the maximum relative error of feature extraction of p m is 0.39%.
分 类 号:TK423.84[动力工程及工程热物理—动力机械及工程]
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