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Wavelets pp 149-163 | Cite as

Local Discriminant Bases for Signal Classification

  • Robert X. Gao
  • Ruqiang Yan
Chapter

Abstract

The goal of analyzing signals from manufacturing machines is to extract relevant features from the waveforms to effectively characterize the working conditions of the machines (e.g., tool breakage and gear degradation). As we have shown in Chap. 5, the wavelet packet transform can lead to redundant signal decomposition within certain time–frequency subspaces. When performing wavelet packet transform, the time–frequency subspaces are collectively called the wavelet packet library.

Keywords

Wavelet Coefficient Relative Entropy Wavelet Packet Decomposition Level Dissimilarity Measure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringUniversity of ConnecticutStorrsUSA
  2. 2.School of Instrument Science and EngineeringSoutheast UniversityNanjingChina, People’s Republic

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