中国机械工程2018，Vol.29Issue(8)：923-929,936,8.DOI:10.3969/j.issn.1004-132X.2018.08.006
基于变分模态分解和鲁棒性独立成分分析的内燃机缸盖振动信号分离
Cylinder Head Vibration Signals Separation of Internal Combustion Engines Based on VMD and RobustICA
摘要
Abstract
In order to solve the problems that the combustion signals and the piston slap signals in cylinder head vibration signals were difficult to separate in the time-frequency domain,the VMD and RobustICA methods were utilized to separate the independent source signals.The single channel cylin-der head vibration signals of an internal combustion engine were measured by tests.Firstly,the meas-ured signals were carried out the pretreatments,such as eliminations of trend items and move average. The VMD algorithm was employed to decompose the vibration signals.Then the RobustICA algo-rithm was applied to extract the independent components.The CMF method was adopted to combine the obtained independent components which were similar in time domain and frequency domain.Final-ly,the spectrum analysis,the continuous wavelet transform,the coherence function method and the drag test were utilized to further identify the separation results.The research results show that this method may effectively separate the combustion signals and the piston slap signals from cylinder head vibration signals under different test conditions.关键词
内燃机/缸盖振动/变分模态分解/组合模态函数法/鲁棒性独立成分分析Key words
internal combustion engine/cylinder head vibration/variational mode decomposition (VMD)/combined mode function(CMF)method/robust independent component analysis(RobustI-CA)分类
能源科技引用本文复制引用
姚家驰,向阳,钱思冲,张冠军..基于变分模态分解和鲁棒性独立成分分析的内燃机缸盖振动信号分离[J].中国机械工程,2018,29(8):923-929,936,8.基金项目
国家自然科学基金资助项目(51079118,51279148) （51079118,51279148）
