Title :
Time domain characteristics analysis of load spectrum of axle shaft
Author :
Wang, Jixin ; Hu, Ji ; Yao, Mingyao ; Wang, Naixiang
Author_Institution :
Coll. of Mech. Sci. & Eng., Jilin Univ., Changchun, China
Abstract :
The axle shaft of wheel loaders often suffers complex impulsive loads during transportation and shoveling. The Time domain load of axle shaft of loader in the working condition of primary soil was denoised through the Wavelet method. Simultaneously the Gaussian white noise which takes a great part of the noise signals was eliminated too. The Time domain characteristic of axle shaft torque was analyzed while the loader works in the V-shaped section. Finally the stationarity of the entire time-history load was examined by run test method. The result shows that the measured Time domain signal of the axle shaft is stationary, which provides a reliable base for subsequent counting statistics and compilation of load spectrum.
Keywords :
Gaussian noise; axles; loading equipment; shafts; time-domain analysis; torque measurement; wavelet transforms; Gaussian white noise; V-shaped section; axle shaft load spectrum; axle shaft torque; noise signal; time domain characteristics analysis; time domain signal; time history load; wavelet method; wheel loader; Axles; Employee welfare; Gaussian noise; Shafts; Soil; Time domain analysis; Transportation; Wavelet domain; Wheels; White noise; Earthmoving machinery; Filtering; Load Spectrum; Run test; Wavelet;
Conference_Titel :
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-5701-4
DOI :
10.1109/ICINFA.2010.5512484