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基于内禀模态特征能量法煤油机爆震特征提取 被引量:5

Knock feature extraction based on intrinsic mode function feature energy method for a kerosene engine
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摘要 为解决电控二冲程煤油发动机爆震特征提取的问题,根据内禀模态函数(intrinsic mode function,IMF)正交的特点,提出了基于内禀模态函数特征能量法的爆震特征提取方法。该方法对电控二冲程煤油发动机缸内压力信号进行经验模态分解(empirical mode decemposition,EMD),得到若干IMF分量,利用内禀模态函数能量法获取信号能量占主导地位的IMF分量,作为爆震信号的主导模式分析对象,对该IMF分量进行功率谱密度分析,得到了电控二冲程煤油发动机的爆震特征频率。通过仿真计算以及爆震信号分析,结果表明内禀模态函数特征能量法在电控二冲程煤油发动机爆震特征频率提取过程中实用有效。 To solve the problem of knock feature extraction for an electronic controlled two-stroke kerosene engine,the intrinsic mode function feature energy method for knock detection is proposed according to the orthogonality of the intrinsic mode function(IMF). The cylinder pressure signals of the electronic controlled two-stroke kerosene engine are decomposed into a finite number of IMF components through the empirical mode decomposition(EMD)method. The IMF contained the main intrinsic mode function feature energy is obtained, which is selected as the dominant mode analysis object for the knock signal. The knock characteristic frequency of the electronic controlled two-stroke kerosene engine is gotten by analyzing the power spectral density of the IMF. Simulation results show that the intrinsic mode function feature energy method in the process of knock feature extraction for the electronic controlled two-stroke kerosene engine is practical and effective.
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2013年第2期462-468,共7页 Chinese Journal of Scientific Instrument
关键词 内禀模态特征能量法 功率谱密度估计 经验模态分解 电控二冲程煤油发动机 爆震特征提取 intrinsic mode function feature energy method power spectral density estimation empirical mode decomposition (EMD) electronic controlled two-stroke kerosene engine knock feature extraction
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