Title :
Study of early warning for servo-mechanism faults
Author :
Yan, Zhao ; Min, Huang ; Ming, Han
Author_Institution :
Inst. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
Data acquisition is designed to collect the signals of current, vibration, etc. from the weather radar servo-mechanism. In order to achieve the purposes of early warning to the weather radar servo-mechanism faults, Wavelet packed feature extraction method is used in collection data, and the wavelet packed energy spectrum method is used to make the faults signals quantized and analyzed. The on-site installation verification test proved that the weather radar servo-mechanism faults diagnosis method is a more convenient and accurate method which is based on the wavelet packed enemy spectrum analysis.
Keywords :
atmospheric techniques; data acquisition; feature extraction; geophysical signal processing; meteorological radar; servomechanisms; data acquisition; early warning signal; installation verification test; wavelet packed enemy spectrum analysis; wavelet packed energy spectrum; wavelet packed feature extraction; weather radar servo-mechanism fault diagnosis; Digital signal processing; Energy measurement; Radar imaging; Servomotors; Energy spectrum; early warning for the faults; servo-mechanism; wavelet packed; weather radar;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
DOI :
10.1109/ICCSNT.2011.6182344