Information theoretic measure for wavelet selection in non-stationary vibration analysis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents an information theoretic measure for base wavelet selection with application to bearing vibration signal analysis. The developed measure takes into account the relationship between the signal being analyzed and the wavelet coefficients that result from wavelet transform of the signal, to evaluate the appropriateness of various candidate wavelets in extracting signatures that are indicative of structural defects. Experiments using vibration signals measured from a ball bearing have verified that the developed measure provides systematic and quantitative guidance to selecting base wavelet for optimized signal analysis.

Original languageEnglish
Title of host publicationStructural Health Monitoring 2009
Subtitle of host publicationFrom System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009
EditorsFu-Kuo Chang
PublisherDEStech Publications
Pages1202-1209
Number of pages8
ISBN (Electronic)9781605950075
StatePublished - 2009
Externally publishedYes
Event7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009 - Stanford, United States
Duration: 9 Sep 200911 Sep 2009

Publication series

NameStructural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009
Volume2

Conference

Conference7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009
Country/TerritoryUnited States
CityStanford
Period9/09/0911/09/09

Fingerprint

Dive into the research topics of 'Information theoretic measure for wavelet selection in non-stationary vibration analysis'. Together they form a unique fingerprint.

Cite this