Yella, Siril, Gupta, Naren K and Dougherty, Mark S (2007) Comparison of pattern recognition techniques for the classification of impact acoustic emissions. Transportation Research Part C: Emerging Technologies, 15 (6). pp. 345-360. ISSN 0968-090XFull text not available from this repository. (Request a copy)
Current day condition monitoring applications involving wood are mostly carried out through visual inspection and if necessary some impact acoustic examination is carried out. These inspections are mainly done intuitively by skilled personnel. In this paper, a pattern recognition approach has been considered to automate such intuitive human skills for the development of robust and reliable methods within the area. The study presents a comparison of several pattern recognition techniques combined with various stationary feature extraction techniques for classification of impact acoustic emissions. Further issues concerning feature fusion are discussed as well. It is hoped that this kind of broad analysis could be used to handle a wide spectrum of tasks within the area, and would provide a perfect ground for future research directions. A brief introduction to the techniques is provided for the benefit of the readers unfamiliar with the techniques.
Pattern classifiers such as support vector machines, etc. are combined with stationary feature extraction techniques such as linear predictive cepstral coefficients, etc. Results from support vector machines in combination with linear predictive cepstral coefficients delivered good classification rates. However, Gaussian mixture models delivered higher classification rates when feature fusion is proposed.
|Uncontrolled Keywords:||Transportation; Wooden structures; Structural integrity; Non-destructive testing; Pattern recognition; Speech recognition; Signal analysis;|
|University Divisions/Research Centres:||Faculty of Engineering, Computing and Creative Industries > School of Engineering and the Built Environment|
|Dewey Decimal Subjects:||600 Technology > 620 Engineering > 620 Engineering & allied operations
600 Technology > 620 Engineering > 624 Civil engineering
|Library of Congress Subjects:||T Technology > TA Engineering (General). Civil engineering (General)
Q Science > QA Mathematics > QA76 Computer software
|Depositing User:||RAE Import|
|Date Deposited:||30 Apr 2008 09:01|
|Last Modified:||14 Feb 2013 15:48|
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