Combined support vector novelty detection for multi-channel combustion data

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...

書誌詳細
主要な著者:	Clifton, L, Yin, H, Clifton, D, Zhang, Y
フォーマット:	Journal article
出版事項:	IEEE 2007

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