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Proceedings Paper

Research on vibration signal analysis and extraction method of gear local fault
Author(s): X. F. Yang; D. Wang; J. F. Ma; W. Shao
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Paper Abstract

Gear is the main connection parts and power transmission parts in the mechanical equipment. If the fault occurs, it directly affects the running state of the whole machine and even endangers the personal safety. So it has important theoretical significance and practical value to study on the extraction of the gear fault signal and fault diagnosis of the gear. In this paper, the gear local fault as the research object, set up the vibration model of gear fault vibration mechanism, derive the vibration mechanism of the gear local fault and analyzes the similarities and differences of the vibration signal between the gear non fault and the gears local faults. In the MATLAB environment, the wavelet transform algorithm is used to denoise the fault signal. Hilbert transform is used to demodulate the fault vibration signal. The results show that the method can denoise the strong noise mechanical vibration signal and extract the local fault feature information from the fault vibration signal..

Paper Details

Date Published: 20 February 2018
PDF: 6 pages
Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 106975E (20 February 2018); doi: 10.1117/12.2307685
Show Author Affiliations
X. F. Yang, Xi'an Univ. of Technology (China)
D. Wang, Xi’an Univ. of Technology (China)
J. F. Ma, Xi'an Univ. of Technology (China)
W. Shao, Xi’an Univ. of Technology (China)

Published in SPIE Proceedings Vol. 10697:
Fourth Seminar on Novel Optoelectronic Detection Technology and Application
Weiqi Jin; Ye Li, Editor(s)

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