DocumentCode :
3086938
Title :
Detection of Gear Fault Based on Amplitude Demodulation of Rotary Speed
Author :
Qing-Feng, Zhang ; Li-Wei, Tang ; Xiu-Mei, Cui ; Cai-Hong, Hou
Author_Institution :
Dept. of Guns Eng., Ordnance Eng. Coll., Shijiazhuang, China
fYear :
2010
fDate :
17-19 Sept. 2010
Firstpage :
864
Lastpage :
867
Abstract :
Aiming at the features of the engaging vibration´s direct effects on the rotary speed of axis, this paper puts forward the faults diagnosis method of gearbox using amplitude demodulation technology to analyze the signals of rotary speed. First, the signals of rotary speed of gearbox are synchronously sampled in time domain; Next, the signals of torsional vibration are worked out using the signals of rotary speed, and the signals are averaged in time domain to decrease the noise and increase the power signal-to-noise ratio; Last, the averaged signals in time domain are analized with amplitude demodulation and according to the function graph of the amplitude demodulation, the features of the gear fault are picked up. With the analysis of the fault experimental signals of partially abraded gears, partially abraded faults are effectively diagnosed with this method.
Keywords :
amplitude modulation; demodulation; fault diagnosis; gears; graph theory; signal processing; vibrations; amplitude demodulation technology; fault experimental signals; faults diagnosis method; function graph; gear fault detection; gearbox rotary speed; power signal-to-noise ratio; torsional vibration signal; Band pass filters; Demodulation; Fault diagnosis; Gears; Teeth; Time domain analysis; Vibrations; Time domain average; amplitude demodulation; faults diagnosis; gear; torsional vibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8043-2
Electronic_ISBN :
978-0-7695-4180-8
Type :
conf
DOI :
10.1109/PCSPA.2010.214
Filename :
5635823
Link To Document :
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