Dynamic Performance Test and Wavelet Processing Method for Non stationary Random Data of Hydraulic Excavator
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TD422.2

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    Abstract:

    In order to find out the regular pattern of load variation in the working process of excavator, the field test was resorted to instead of the traditional bench test. Furthermore, the wavelet transform theory was also introduced into the main pump pressure load analysis of excavator in rotary condition and the time frequency processing of pressure data collected in the field test was made. The results show that compared to the traditional random theory analysis, wavelet analysis can not only separate signal trend term, but also further decompose the random terms in accordance with the high and low frequency compared to the traditional random theory analysis. Significantly, wavelet analysis can subtly reveal the structural characteristics of the pressure spectrum of the hydraulic excavator. Therefore, it can provide the fundamental basis for the design and reliability analysis of the hydraulic system of excavators.

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WANG Anlin, SHI Shining, LI Xiaotian. Dynamic Performance Test and Wavelet Processing Method for Non stationary Random Data of Hydraulic Excavator[J].同济大学学报(自然科学版),2014,42(1):0115~0123

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History
  • Received:December 26,2012
  • Revised:October 09,2013
  • Adopted:August 23,2013
  • Online: January 07,2014
  • Published:
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