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A novel dense spectrum correction algorithm for extracting vibration signals in internal combustion engine and its application

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Abstract

The algorithm of dense spectrum correction has been raised and proved based on the correction of discrete spectrum by fast Fourier transform. The result of simulation shows that such algorithm has advantages of high accuracy and small amount of calculation. The algorithm has been successfully applied to the analysis of vibration signals from internal combustion engine. To calculate discrete spectrum, fast Fourier transform has been used to calculate the discrete spectrum by the signals acquired by the sensors on the oil pan, and the signal has been extracted from the mixed signals.

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Authors and Affiliations

  1. College of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082, China

    Zhi-gang Zhang  (张志刚), Jia-qiang E  (鄂加强) & Gui-xiang Zhang  (张桂香)

  2. Department of Electron and Communication Engineering, Changsha University, Changsha, 410003, China

    Zhi-gang Zhang  (张志刚)

Authors
  1. Zhi-gang Zhang  (张志刚)
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  2. Jia-qiang E  (鄂加强)
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  3. Gui-xiang Zhang  (张桂香)
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Corresponding author

Correspondence to Zhi-gang Zhang  (张志刚).

Additional information

Foundation item: Project(51176045) supported by the National Natural Science Foundation of China

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Zhang, Zg., E, Jq. & Zhang, Gx. A novel dense spectrum correction algorithm for extracting vibration signals in internal combustion engine and its application. J. Cent. South Univ. 19, 2810–2815 (2012). https://doi.org/10.1007/s11771-012-1346-1

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  • DOI: https://doi.org/10.1007/s11771-012-1346-1

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