DocumentCode :
3003407
Title :
Application of wavelet analysis for thermal signals
Author :
Liu, Changliang ; Li, Taoyong ; Cen, Wei ; Chen, Lin
Author_Institution :
Sch. of Control Sci. & Eng., North China Electr. Power Univ., Baoding
fYear :
2008
fDate :
1-3 Sept. 2008
Firstpage :
2865
Lastpage :
2868
Abstract :
Analysis of thermal process signals by FFT-spectrum and wavelet multiresolution analysia (MRA). Describing the different characteristic of white and color noise in power-spectrum graph. Depending on the MRA feature of white noise, a threshold method suitable for thermal signal denoise was proposed. Accuracy and robust of identification algorithm that based on minimized deviation of output improved when using wavelet de-noise. Satisfying results were got with using the proposed method when processed operation data coming from thermal process.
Keywords :
fast Fourier transforms; signal denoising; thermal analysis; wavelet transforms; white noise; FFT spectrum; color noise; identification algorithm; power-spectrum graph; thermal signal denoise; wavelet multiresolution analysia; white noise; Colored noise; Energy resolution; Multiresolution analysis; Power engineering and energy; Signal analysis; Signal processing; Signal resolution; Thermal engineering; Wavelet analysis; White noise; De-noise; Identification; Multiresolution analysia; Wavelet Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-2502-0
Electronic_ISBN :
978-1-4244-2503-7
Type :
conf
DOI :
10.1109/ICAL.2008.4636665
Filename :
4636665
Link To Document :
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