Title :
Pipeline leak fault feature extraction based on wavelet packet analysis and application
Author :
Zhao, Jiang ; Sun, Feng ; Wang, Huapeng
Author_Institution :
Inst. of Electr. Eng. & Inf. Technol., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
Wavelet packet analysis provides a more subtle approach for signal analysis, in the signal processing, through multiple levels division of the signal band, which made the high frequency part a deeper level decomposition. There is also according to the nature of the signal itself choose the corresponding band adaptively, so as to consistent with the signal spectrum, and thus make the time frequency resolution has been greatly improved. Thus we could extract fault feature in a more fine-grained band, so this method is suitable for non stationary signal analysis. This article describes the pipeline leak fault feature extraction based on wavelet packet analysis and application.
Keywords :
fault diagnosis; feature extraction; leak detection; pipelines; signal resolution; time-frequency analysis; wavelet transforms; feature fault extraction; non stationary signal analysis; pipeline leak; signal processing; signal spectrum; time frequency resolution; wavelet packet analysis; Feature extraction; Noise; Noise reduction; Pipelines; Wavelet analysis; Wavelet packets; Fault diagnosis; Feature vector extracted; Sound waves; Wavelet packet transform;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057772