Vibration signals from diesel engine contain many different components mainly caused by combustion and mechanism operations,several blind source separation techniques are available for decomposing the signal into its components in the case of multichannel measurements,such as independent component analysis(ICA).However,the source separation of vibration signal from single-channel is impossible.In order to study the source separation from single-channel signal for the purpose of source extraction,the combination method of empirical mode decomposition(EMD) and ICA is proposed in diesel engine signal processing.The performance of the described methods of EMD-wavelet and EMD-ICA in vibration signal application is compared,and the results show that EMD-ICA method outperforms the other,and overcomes the drawback of ICA in the case of single-channel measurement.The independent source signal components can be separated and identified effectively from one-channel measurement by EMD-ICA.Hence,EMD-ICA improves the extraction and identification abilities of source signals from diesel engine vibration measurements. Vibration signals from diesel engine contain many different components mainly caused by combustion and mechanism operations, several blind source separation techniques are available for decomposing the signal into its components in the case of multichannel measurements, such as independent component analysis (ICA) .However, the source separation of vibration signal from single-channel is impossible. order to study the source separation from single-channel signal for the purpose of source extraction, the combination method of empirical mode decomposition (EMD) and ICA is proposed in diesel engine signal processing The performance of the described methods of EMD-wavelet and EMD-ICA in vibration signal application is compared, and the results show that EMD-ICA method outperforms the other, and overcomes the drawback of ICA in the case of single-channel measurement. The independent source signal components can be separated and identified effectively from one-channel measurement by EMD-ICA .ence, EM D-ICA improves the extraction and identification abilities of source signals from diesel engine vibration measurements.