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发动机振动信号特征参数的多重分形研究 被引量:24

Study on Characteristic Parameters of Engine Vibration Signal Based on Multi-Fractal
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摘要 提出利用多重分形谱参数来表征发动机振动信号特征的新方法。运用多重分形理论对实测的发动机缸体振动信号进行分析,计算了振动信号的多重分形谱参数,并探讨多重分形谱参数与发动机运行状态之间的内在联系。结果表明:多重分形谱参数能定量刻画振动信号的特征。随着发动机工作状态的不同,信号的多重分形谱参数也发生变化。发动机振动越剧烈,多重分形谱参数越大,其能够反映发动机的真实运行状态,可以作为发动机状态监测和故障诊断的特征参量。 A method to characterize engine vibration signal characteristics was proposed using multi-fractal spectrum parameters. The vibration signals picked up from the engine cylinder body were analyzed by using the multi-fractal theory, and the multi-fractal parameters of vibration signals under different operating conditions were calculated. The relationship between the muhi-fractal parameters and the operating condition was discussed. The study shows that the multi-fractal spectrum parameters can be used to quantitatively describe the characteristics of the vibration signals. The muhi-fractal spectrum parameters of the signals will vary with the variation of engine state. When the vibration intensity of cylinder body increases, the muhi-fractal spectrum parameters will increase and can reflect the real operating conditions of the engine. Therefore,the multi-fractal spectrum parameters can be used to the state monitoring and fault diagnosing.
出处 《内燃机学报》 EI CAS CSCD 北大核心 2008年第1期87-91,共5页 Transactions of Csice
关键词 多重分形 谱参数 发动机 振动信号 Multi-fractal Spectrum parameter Engine Vibration signal
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  • 1谢和平,孙洪泉.分形数学基础与分形在岩石力学中的应用[J].矿业世界,1996(4):1-6. 被引量:13
  • 2陈怡然,周轶尘,白烨,郑伟涛.发动机振动诊断中的多重分形法[J].内燃机学报,1997,15(1):114-119. 被引量:24
  • 3杨文平.基于李亚普指数的斯太尔汽车发动机的故障诊断研究[J].振动工程学报,1999,15(3):35-38.
  • 4[4]李后强,汪富泉著.分形理论及其在分子科学中的应用[M].北京:科学出版社,1999
  • 5[1]Mallat S G. A wavelet tour of signal processing. Academic Press, 1998 : 333-335
  • 6[2]Wang Wilson Q, Fathy Ismail, Farid Golnaraghi. Assessment of gear damage monitoring techniques using vibration measurements. Mechanical System and Signal Processing. 2001; 15(5): 905-922
  • 7[3]Staszewski W J,Tomlinson G R. Local tooth fault detection in gearboxes using a moving window procedure.Mechanical System and Signal Processing, 1997; 11 ( 3 ):331-350
  • 8Packed H, Crutchfisld J P, Farmer J D, et al. Geometry from a Time Series [J] . Physical Review Letters, 1980, 45:712-716.
  • 9Takens F. Detecting Strange Attractors in Turbulence. In : Lecture Notes in Mathematics [ C ] . Berlin: Springer 898,1981. 366 - 381.
  • 10P Grassberger, I Procaccia. Measuring the strangeness of strange attractors. Physica D, 1983 (9): 189-208.

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