Combined support vector novelty detection for multi-channel combustion data
Multi-channel combustion data, consisting of gas pressure and two combustion chamber luminosity measurements, are investigated in the prediction of combustion instability. Wavelet analysis is used for feature extraction. A SVM approach is applied for novelty detection and the construction of a model...
Hlavní autoři: | Clifton, L, Yin, H, Clifton, D, Zhang, Y |
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Médium: | Journal article |
Vydáno: |
IEEE
2007
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