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作 者:杨光[1] 魏亨蝶 丁博 郑国君 Yang Guang;Wei Hengdie;Ding Bo;Zheng Guojun(School of Electronic Information Engineering,Changchun University of Science and Technology,Changchun 130022,China)
机构地区:[1]长春理工大学电子信息工程学院,长春130022
出 处:《电子测量与仪器学报》2021年第12期126-132,共7页Journal of Electronic Measurement and Instrumentation
基 金:吉林省教育厅科学计划(JJKH20200778KJ);吉林省科技厅科学计划(20180201090GX)项目资助。
摘 要:示功图是描述柴油机气缸内气体的压力随着曲轴转角变化而变化的曲线,通过分析示功图曲线,可以获取柴油机燃烧状况和运行状态。柴油机工作过程中,具有噪音大、振动大等特点,使得测量得到的示功图曲线存在大量的干扰信号,严重影响分析精度。针对以上问题,提出了一种消除示功图曲线干扰信号的处理算法,该算法有效地融合了均值滤波、中值滤波、畸点数据替代处理算法、改进的畸点数据局部滤波处理算法以及五点三次光顺处理算法,能够有效地消除示功图曲线中的干扰信号。采用4190ZLC型柴油机分设置柴油机转速945 r/min、负载率30%和转速1000 r/min,负载率50%进行实验验证,结果表明,该算法能够有效地滤除示功图数据中的高频干扰信号,同时,在保持示功图曲线较小失真的条件下,获得了平滑、连续的示功图曲线。Indicator diagram is a curve that describes the pressure of the gas in the cylinder of a diesel engine as the crankshaft Angle changes.The combustion and running state of diesel engine can be obtained by analyzing the indicator diagram curve.Due to the characteristics of high noise and vibration in the working process of diesel engine,there are a lot of interference signals in the measured indicator diagram curve,which seriously affects the accuracy of analysis.In order to solve the above problems,a processing algorithm to eliminate the interference signal of the indicator graph curve is proposed.The algorithm effectively integrates mean filtering,median filtering,anomaly data replacement processing algorithm,improved anomaly data local filtering algorithm and five-point cubic smoothing algorithm,and it can effectively eliminate the interference signal in the indicator diagram curve.A 4190 ZLC diesel engine was used to set the engine speed at 945 r/min,the load rate at 30%and the speed at 1000 r/min,and the load rate at 50%for experimental verification.The results show that the algorithm can effectively filter out the high-frequency interference signals in the indicator diagram data,and obtain smooth and continuous indicator diagram curve while maintaining a small distortion of the indicator diagram curve.
分 类 号:TP751[自动化与计算机技术—检测技术与自动化装置]
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