摘要
二冲程低速柴油机具有复杂的振动特性,传统的经验模态分解(Empirical Mode Decomposition,EMD)算法对其振动信号处理效果不理想。为此,采用修正多元集合经验模态分解(Modified Ensemble Empirical Mode Decomposition,MEEMD)算法对低速柴油机机体振动信号进行分解。首先,采用三轴加速度计测量发动机机体振动。然后利用均方根(Root Mean Square,RMS)对三轴振动强度进行分析。最后,对x轴上的信号进行MEEMD分析。结果表明:砌块在x轴方向的振动强度最大;与EMD算法相比,MEEMD算法可以抑制模态混合,有助于更好地识别块振动激励。
The two-stroke low-speed diesel engine has complex vibration characteristics,and the conventional empirical mode decomposition(EMD)algorithm has the unsatisfactory processing effect of its vibration signals,so the modified ensemble empirical mode decomposition(MEEMD)algorithm is adopted to decompose the signals of the block vibration of the low-speed diesel engine.First,a triaxial accelerometer is used to measure the block vibration of the engine.Then,the root mean square(RMS)is used to analyze the vibration intensity of three axes.Finally,the MEEMD algorithm is used to analyze the signals on the x-axis.The results show that the vibration intensity of the block in the x-axis direction is the largest,and that the MEEMD algorithm can suppress modal mixing compared to the EMD algorithm,which helps to better identify the vibration excitation of the block.
作者
贺献忠
徐麟绍
高超
HE Xianzhong;XU Linshao;GAO Chao(Merchant Marine College,Shanghai Maritime University,Shanghai,201306 China;Zhejiang Shipping Group Zhehai Shipping Co.,Ltd.,Hangzhou,Zhejiang Province,311500 China;Transportation Department,Shougang Mining Corporation,Tangshan,Hebei Province,064404 China)
出处
《科技资讯》
2024年第4期78-81,共4页
Science & Technology Information
关键词
低速柴油机
振动
信号处理
修正集合经验模态分解
Low-speed diesel engine
Vibration
Signal processing
Modified ensemble empirical mode decomposition
