Damage Detection Of Pipelines Based On Wavelet Analysis
ISTAI 2016: PROCEEDINGS OF THE SIXTH INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION(2016)
Abstract
The basic theory and algorithm of wavelet analysis and support vector machine (SVM) were introduced. The feature vector of the fault vibration signal of the pipelines damage in pipelines was extracted by wavelet analysis, the feature vector was identified by SVM method further, and finally, the crack damage of the pipelines damage was judged. The results show that this method has a good effect on identification of the pipelines damage crack damage in pipelines.
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Key words
wave analysis, support vector machine, pipelines, damage
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