Dissimilarity measures for ICA-based source number estimation

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

Abstract

Most of blind source separation problems are carried out with a priori knowledge of the source numbers. However, for source separation-based machinery condition monitoring and fault diagnosis, it is a challenge work to determine the number of sources for a well source separation due to complex structures and nonlinear mixing mode. Therefore, source number estimation is a necessary and important procedure prior to source separation and further diagnosis work. In this paper, we focus on a novel source number estimation method based on independent component analysis (ICA) and clustering evaluation analysis, and investigate the performances of different dissimilarity measures of ICA-based source number estimations with typical mechanical vibration signals. Our work contributes to find an effective solution of source number estimation for source separation-based machinery condition monitoring and fault diagnosis.

Original languageEnglish
Title of host publicationASME 2012 International Manufacturing Science and Engineering Conference Collocated with the 40th North American Manufacturing Research Conf. and in Participation with the Int. Conf., MSEC 2012
Pages683-688
Number of pages6
DOIs
StatePublished - 2012
EventASME 2012 International Manufacturing Science and Engineering Conference, MSEC 2012 Collocated with the 40th North American Manufacturing Research Conference and in Participation with the International Conference - Notre Dame, IN, United States
Duration: 4 Jun 20128 Jun 2012

Publication series

NameASME 2012 International Manufacturing Science and Engineering Conference Collocated with the 40th North American Manufacturing Research Conference and in Participation with the Int. Conf., MSEC 2012

Conference

ConferenceASME 2012 International Manufacturing Science and Engineering Conference, MSEC 2012 Collocated with the 40th North American Manufacturing Research Conference and in Participation with the International Conference
Country/TerritoryUnited States
CityNotre Dame, IN
Period4/06/128/06/12

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