Research on vibration signal analysis and extraction method of gear local fault

X. F. Yang; D. Wang; J. F. Ma; W. Shao

doi:10.1117/12.2307685

20 February 2018 Research on vibration signal analysis and extraction method of gear local fault

X. F. Yang, D. Wang, J. F. Ma, W. Shao

Proceedings Volume 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application; 106975E (2018) https://doi.org/10.1117/12.2307685
Event: Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 2017, Nanjing, China

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..

Citation Download Citation

X. F. Yang, D. Wang, J. F. Ma, and W. Shao "Research on vibration signal analysis and extraction method of gear local fault", Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 106975E (20 February 2018); https://doi.org/10.1117/12.2307685

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KEYWORDS

Wavelets

Wavelet transforms

Teeth

Signal analysis

Fourier transforms

Signal processing

Differential equations

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