Fault Diagnosis of Diesel Engine's Fuel System Based on Fractals
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摘要: 通過研究柴油機高壓油管在噴油過程中,產生的振動信號中包含的豐富的燃油系工況信息,發現這一信號具有分形特征,即統計意義上的自相似性,類似一種1/f噪聲.利用分形理論可以將其豐富的信息濃縮于信號的功率譜指數或容量維數中,并通過分析它的功率譜指數對燃油系各種工說的敏感性,進行燃油系的不解體診斷,實例診斷表明,它是一種較好的故障診斷方法。Abstract: The vibrations of diesel engines high pressure lines during injection time contains much information of the fuel system condition,the research shows that the signal has fractal characteristics, i. e. self-similar stochastic structure within the data. It belongs to 1/f noise family. The information of the signal can be concentrated in one parameter, Hurst Exponent or Power Spectrum Density (PSD) exponent. By analyzing the sensitivity of the PSD exponent in variant conditions of the fuel system, a non-intrusive fault diagnosis method to diesel engines is supplied.
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Key words:
- diesel engines /
- fuel system /
- fractals /
- vibrations
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