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    • Study on Prediction Method of Lubricating Oil Dilution Rate of Diesel Engine Based on Neural Network
    DOI：10.13949/j.cnki.nrjgc.2023.05.010
    Key Words:diesel engine  late post-injection strategy  oil dilution  fruit fly optimization algorithm（FOA）  generalized regression neural network（GRNN）
    Author NameAffiliationE-mail
    HAN Ronggang* State Key Laboratory of Engines， Tianjin University， Tianjin 300072， China hrg_0910@tju.edu.cn 
    LIANG Xingyu* State Key Laboratory of Engines， Tianjin University， Tianjin 300072， China lxy@tju.edu.cn 
    Lü Xu State Key Laboratory of Engines， Tianjin University， Tianjin 300072， China lvxu96@tju.edu.cn 
    WANG Kun State Key Laboratory of Engines， Tianjin University， Tianjin 300072， China kwang5@tju.edu.cn 
    LIU Jun Weichai Power Company Limited， Weifang 261041， China liujun02@weichai.com 
    WANG Yibao Weichai Power Company Limited， Weifang 261041， China wangyib@weichai.com 
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    Abstract:To realize accurate and rapid detection of diesel engine lubricating oil dilution degree， the data set of the lubricating oil dilution rates and physical and chemical properties associated with the lubricant was established through experiments. The fruit fly optimization algorithm（FOA） was used to search the optimal solution to updating the smoothing factor of the generalized regression neural network（GRNN）， and a prediction method of lubricating oil dilution rate based on FOA–GRNN model was then proposed. The simulation results show that the goodness of fit of the model could reach 99.9%， and the root mean square error was 0.106. Compared with other network models， FOA–GRNN model is proved to be superior in prediction accuracy， convergence speed and stability. The proposed prediction method was verified by gas chromatograph（GC） method in the actual diesel engine late post-injection experiment， and the error between the modeling results and measurements results was within 0.5%. The prediction method ensures the detection accuracy while shortening the detection time. And the method provides theoretical and technical guidance for the oil change of diesel engines.
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