A Compression Algorithm for Vibration Signal of Rotating Machinery Based on Partitioned Iterated Function Systems

Abstract:

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The partitioned iterated function systems (PIFS) were introduced into the compression of vibration signal. The actual vibration data of ZLH600-2 pump were adopted to verify the performance of PIFS. Also the compression ratios and the computation time were good, but the spectrum and amplitude, as important performances, were deformed after compression. If the concerned frequency of users was significantly lower than the sampling frequency and the required compression ratios was not more than 2, the compression using PIFS in vibration signal of rotating machinery was comfortable. Otherwise, the information loss in the compression could not be ignored. The decoded signals with the different compression parameters were listed in the paper and it was a meaningful exploration of the IFS on diagnosis and laid the foundation for further research.

Info:

Periodical:

Advanced Materials Research (Volumes 139-141)

Edited by:

Liangchi Zhang, Chunliang Zhang and Tielin Shi

Pages:

1718-1722

DOI:

10.4028/www.scientific.net/AMR.139-141.1718

Citation:

J. Li et al., "A Compression Algorithm for Vibration Signal of Rotating Machinery Based on Partitioned Iterated Function Systems", Advanced Materials Research, Vols. 139-141, pp. 1718-1722, 2010

Online since:

October 2010

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Price:

$35.00

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