Fractal Data Coding Algorithm for Remote Equipment Fault Diagnosis

In the paper, an approach of piecewise self-affine fractal model which based on the fractal property of vibration signal data is proposed. In this method, a signal was coded by parameters of affine maps and reconstructed according to self-similarity represented by the IFS parameters. For the total d...

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Bibliographic Details
Published in2008 Fourth International Conference on Natural Computation Vol. 4; pp. 630 - 634
Main Authors Songling Wang, Biqiang Du, Guiji Tang, Junjie Shi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2008
Subjects
data coding
Extraterrestrial measurements
Fault diagnosis
fractal
Fractals
Image coding
Image reconstruction
Iterative decoding
Machinery
PSNR
remote equipment
Signal processing
Signal resolution
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ISBN9780769533049
0769533043
ISSN2157-9555
DOI10.1109/ICNC.2008.69

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Summary:In the paper, an approach of piecewise self-affine fractal model which based on the fractal property of vibration signal data is proposed. In this method, a signal was coded by parameters of affine maps and reconstructed according to self-similarity represented by the IFS parameters. For the total data size of such a representation is far less than the original time domain data size, this method can resolve the bottleneck in remote transmission of large amount of signals and improve the capability of remote equipment fault diagnosis system. To demonstrate the effectiveness of this method, it has been applied to some actual vibration signals as well as simulation signals.
ISBN:9780769533049
0769533043
ISSN:2157-9555
DOI:10.1109/ICNC.2008.69