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论文题目：Fractal data compression algorithm for vibration signal in fault diagnosis-%-89696-%-

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Accession number:  082511328659

, A+ D; N* ?5 Z& n0 Y Title:  Fractal data compression algorithm for vibration signal in fault diagnosis

$ p# u7 s/ Q6 j5 L Authors:  Du, Bi-Qiang; Tang, Gui-Ji  

Author affiliation:  Department of Mechanical Engineering, North China Electric Power University, Baoding Hebei 071003, China

Serial title:  Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07
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5 o' F! @  Z; _ Abbreviated serial title:  Proc. Int. Conf. Wavelet Anal. Pattern Recogn. ICWAPR

0 o/ m7 R, ?+ ~. P, b Volume:  v 2
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Monograph title:  Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07
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  g5 P  O3 X! V2 \; j3 S Publication year:  2008
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Pages:  p 809-813
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Language:  English

8 Y1 I1 W9 y# ~3 \ ISBN-10:  1424410665
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% ?  f3 j3 n2 v( u8 i Document type:  Conference article (CA)

Conference name:  2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07
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Conference date:  Nov 2-4 2007

, \6 c& v5 }2 @' K/ n Conference location:  Beijing, China

& l1 e% d4 R# S  z* P Conference code:  72233
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Publisher:  Institute of Electrical and Electronics Engineers Inc., Piscataway, NJ 08855-1331, United States

! ?+ Q7 w9 a6 a& k3 }2 x# m) C Abstract:  In the paper, the fractal property of rotating machinery vibration signals and the principle of fractal data compression are summarized reviewed. Based on the fractal property, an approach for vibration signal data compression and reconstruction is proposed. In this method, a signal is represented by parameters of affine maps and is reconstructed according to self-similarity represented by the IFS parameters. The total data size of such a representation is far less than the original time domain data size. To demonstrate the effectiveness of this method to resolving the bottleneck in remote transmission of large amount of signals and improving the capability of remote equipment fault diagnosis system, the presented method has been applied to some actual vibration signals as well as simulation signals. © 2007 IEEE.
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Number of references:  13
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1 C- e& m) F" H: J# s) b  S( H Ei main heading:  Data compression
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9 l% C# B+ `3 E$ { Ei controlled terms:  Computer networks  -  Electric fault currents  -  Feature extraction  -  Fractals  -  Lattice vibrations  -  Machine vibrations  -  Maps  -  Pattern recognition  -  Vibrations (mechanical)  -  Vibrators   -  Wavelet analysis  -  Wavelet transforms  -  Well equipment

Uncontrolled terms:  vibration signals  -  international conferences  -  Property (S)  -  Simulation signals  -  Fault diagnosis systems  -  Fault diagnosis (FD)  -  Time domain data  -  Applied (CO)  -  Data size  -  Self similarities   -  Affine maps  -  Machinery vibrations  -  Data compression algorithms
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% k/ Q  U9 }. S/ [! S' _; B2 d# p Ei classification codes:  405.3 Surveying  -  446.1 Water Supply Systems  -  601.1 Mechanical Devices  -  601.3 Mechanisms  -  701.1 Electricity: Basic Concepts and Phenomena  -  716 Telecommunication; Radar, Radio and Television  -  716.1 Information Theory and Signal Processing  -  921 Mathematics  -  921.3 Mathematical Transformations  -  931.1 Mechanics  -  933.1.1 Crystal Lattice

du219

非常感谢
3 t( I" s7 j- A* J4 C+ l9 [9 p非常感谢
+ W0 u# v& c5 q, X0 z& J8 {5 t好人