Nonstationary feature extraction techniques for automatic classification of impact acoustic signals
Condition monitoring of wooden railway sleepers applications are generallycarried out by visual inspection and if necessary some impact acoustic examination iscarried out intuitively by skilled personnel. In this work, a pattern recognition solutionhas been proposed to automate the process for the a...
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| Format: | Others |
| Language: | English |
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Högskolan Dalarna, Datateknik
2008
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:du-3592 |