@article{(Open Science Index):https://publications.waset.org/pdf/10001469,
	  title     = {Quality Control of Automotive Gearbox Based On Vibration Signal Analysis},
	  author    = {Nilson Barbieri and  Bruno Matos Martins and  Gabriel de Sant'Anna Vitor Barbieri},
	  country	= {},
	  institution	= {},
	  abstract     = {In more complex systems, such as automotive
gearbox, a rigorous treatment of the data is necessary because there
are several moving parts (gears, bearings, shafts, etc.), and in this
way, there are several possible sources of errors and also noise. The
basic objective of this work is the detection of damage in automotive
gearbox. The detection methods used are the wavelet method, the
bispectrum; advanced filtering techniques (selective filtering) of
vibrational signals and mathematical morphology. Gearbox vibration
tests were performed (gearboxes in good condition and with defects)
of a production line of a large vehicle assembler. The vibration
signals are obtained using five accelerometers in different positions
of the sample. The results obtained using the kurtosis, bispectrum,
wavelet and mathematical morphology showed that it is possible to
identify the existence of defects in automotive gearboxes.},
	    journal   = {International Journal of Mechanical and Mechatronics Engineering},
	  volume    = {9},
	  number    = {6},
	  year      = {2015},
	  pages     = {947 - 952},
	  ee        = {https://publications.waset.org/pdf/10001469},
	  url   	= {https://publications.waset.org/vol/102},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 102, 2015},
	}