Noise sources identification method of internal combustion engine based on VMD-ICA-CWT
The variational mode decomposition (VMD) ,independent component analysis (ICA) and continuous wavelet transform (CWT) algorithms were proposed to identify the noise sources .Firstly , the internal combustion engine was covered by lead ,and only the sixth cylinder part was bared .The single channel′s cylinder head noise signal of the exposed part was measured ,and then the variational mode decomposition algorithm was used to decompose the noise signal into several mode components , and FastICA algorithm was used to extract the independent components ,which could solve the under‐determined problem of the single channel noise signal blind source separation ,and overcame the modal aliasing defects of the traditional empirical mode decomposition meanw hile w hen processing the noise signals .Finally ,continuous wavelet time‐frequency analysis and correlation analysis were used to fur‐ther identify the separating results .The results show that the proposed algorithm can effectively iden‐tify the combustion noise and the valve train knock noise of the internal combustion engine .
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