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汽油机爆震边缘检测的研究 被引量:7

Research on Knock Threshold Detection for Gasoline Engines
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摘要 汽油机爆震的难点是爆震边缘点检测,爆震边缘点是汽油机点火闭环控制的前提。研究了利用振动信号检测汽油机爆震边缘的方法。研究表明,利用离散小波变换能够有效地从振动信号中检测出爆震边缘特征,而且利用一只振动传感器即可以有效地检测出多缸汽油机各缸的爆震边缘。 The knock threshold detection is the key of gasoline engine knock detection, and it is the key of the closed loop ignition control of gasoline engines. In this paper, the method of detecting knock threshold of gasoline engine using vibration signals was studied. The result shows that the knock threshold can be detected from engine surface vibration signals by using the discrete wavelet transform, and the knock threshold of each cylinder of multi-cylinder gasoline engine can be detected by one vibration transducer alone.
出处 《内燃机工程》 EI CAS CSCD 北大核心 2007年第4期73-75,共3页 Chinese Internal Combustion Engine Engineering
关键词 内燃机 汽油机 爆震 爆震边缘 小波变换 IC engine gasoline engine engine knock knock threshold wavelet transform
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参考文献4

  • 1Hudson C,Gao X,Stone R.Knock measurement for fuel evaluation in spark ignition engines[J].Fuel,2001,80:395-407.
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  • 4Wu Y,Du R.Feature extraction and assessment using wavelet packets for monitoring of machining processes[J].Mechanical Systems and Signal Processing.1996,10(1):29-53.

同被引文献56

  • 1武得钰,傅茂林,李建权,顾笑映.火花点火发动机爆震强度评价指标的研究[J].内燃机学报,1997,15(1):62-70. 被引量:25
  • 2Heywood J B. Internal Combustion Engine Fundamentals [ M ]. Columbus: McGraw-Hill Book Company, 1988 : 145- 149.
  • 3Li J, Zuo M J, Ken R Fyfe. Mechanical Fault Detection Based on the Wavelet De-Noising Technique[ J]. Journal of Vibration and Acoustic, 2004, 126(1) : 9-16.
  • 4Sung Tae Park, Yang Jinguo. Engine Knock Detection Based on Wavelet Transform [ J ]. Science and Technology, 2004, 3 (6) : 80- 83.
  • 5Wu Ya, Du R. Feature Extraction and Assessment Using Wavelet Packets for Monitoring of Machining Processes [ J ]. Mechanical Systems and Signal Processing, 1996, 10 ( 1 ) : 29-53.
  • 6Heywood J B. Internal combustion engine fundamentals[M]. New York: MeGram-Hill Book Company, 1988.
  • 7Borg J M, Saikalis G, Oho S. Knock signal analysis using the discrete wavelet transform[C]//SAE World Congress. Detorit : Michigan, 2006 : 1-10.
  • 8Lin J, Zuo M J, Fyfe K R. Mechanical fault detection based on the wavelet de-noising technique [J]. Journal of Vibration and Acoustic, 2004, 126 (1) : 9-16.
  • 9Wu Y, Du R. Feature extraction and assessment using wavelet packets for monitoring of machining processes [J]. Mechanical Systems and Signal Processing, 1996, 10(1) : 29-53.
  • 10Boubal O. Knock detection in automobile engines[J].IEEE In- strumentation & Measurement Magazine,2000,3(3) :24-28.

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