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    • Diesel Engine Noise Excitation Source Diagnosis Based on Blind Source Separation Algorithm
    DOI：10.13949/j.cnki.nrjgc.2023.01.004
    Key Words:negative entropy  blind source separation  vibration source diagnosis  wavelet analysis
    Author NameAffiliationE-mail
    HU Li Wuhan University of Science and Technology， Wuhan 430081， China huli@wust.edu.cn 
    HE Xianbo* Wuhan University of Science and Technology， Wuhan 430081， China 982361255@qq.com 
    TAN Zhengyu Dongfeng Commercial Vehicle Co.， Ltd.， Wuhan 430056， China  
    YANG Qiliang Wuhan University of Science and Technology， Wuhan 430081， China  
    WANG Jia Dongfeng Commercial Vehicle Co.， Ltd.， Wuhan 430056， China  
    CHEN Leilei Dongfeng Commercial Vehicle Co.， Ltd.， Wuhan 430056， China  
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    Abstract:Based on the blind source separation technology of negative entropy maximization algorithm and wavelet transform spectrum analysis technology， the adaption negentropy maximum（ANM）–continuous wavelet transform（CWT） was proposed. With the ANM–CWT analysis technology， the combustion noise excitation source generated by combustion， the mechanical noise excitation source generated by mechanical motion and the abnormal noise excitation source generated by piston knocking on the cylinder wall were successfully identified.
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