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    • Blind Source Separation and Identification of Generator Radiation Noise Based on Signal Analysis
    DOI：
    Key Words:IC engine  generator  blind source separation  independent component analysis  empirical mode decomposition  wavelet transform
    Author NameAffiliation
    JING Yabing, LIU Changwen, BI Fengrong 1.State Key Laboratory of Engines， Tianjin University， Tianjin 300072, China
    2.Internal Combustion Engine Research Institute, Tianjin University, Tianjin 300072, China 
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    Abstract:For generator radiation noise, the algorithm for empirical mode decomposition with independent elements(IE-EMD) combining the advantages of independent component analysis algorithm and empirical mode decomposition algorithm was used to decompose the noise sources into a series of independent component by using a single observation signal to ensure the independence of isolated sound sources. At the same time, the wavelet transform technique was used to analyze the independent components and the corresponding relations between the different generator noise sources and independent components were determined by the time frequency analysis results which was verified by experiments. Results show that these independent components correspond to valve train noise, balancing shaft drive gear noise, timing gear noise and intake air noise.
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