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- W2387916312 abstract "The traditional mechanism analysis can not quickly find the specific signals related to the combustion disturbance form the massive data of power plants.According to the strong volatility similarity of the disturbance-related signals in the same frequency band,a kind of wavelet entropy based method was proposed to extract the related signals of combustion disturbance.Components of different frequency bands were firstly filtered through wavelet transforming,and then the wavelet entropy was calculated to analyze the correlation of the signals.Taking the frequency-dependent signal for example,the influence of the wavelet basis and sliding window width on the detection and identification performance of the wavelet entropy was analyzed.Example analysis of the power plant data showed that this method could not only effectively excavate correlated signals of combustion disturbance,but also distinguish the relative strength of the signals." @default.
- W2387916312 created "2016-06-24" @default.
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- W2387916312 date "2010-01-01" @default.
- W2387916312 modified "2023-09-24" @default.
- W2387916312 title "Application of Wavelet Entropy on Extracting Related Signals of Combustion Disturbance" @default.
- W2387916312 hasPublicationYear "2010" @default.
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